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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 13860
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    Explanations

    phrases indicating a requirement or condition

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to necessary conditions or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ahime
    -0.74
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     Cosponsors
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    alon
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    inventoryQuantity
    -0.63
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    ãĥĨãĤ£
    -0.62
    kt
    -0.61
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    POSITIVE LOGITS
     viability
    1.03
     success
    1.01
     successful
    1.00
     acceptable
    0.99
     proper
    0.97
     satisfactory
    0.96
     acceptance
    0.96
     viable
    0.93
     effective
    0.93
     worthwhile
    0.91
    Activations Density 0.228%

    No Known Activations