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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. 21155
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    Explanations

    numerical changes or trends

    oai_token-act-pair · gpt-3.5-turbo

    terms related to changes in numerical data, particularly increases and decreases

    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
     Vault
    -0.57
     restruct
    -0.54
    ciating
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     briefings
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     subtitles
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    ATA
    -0.51
     scrut
    -0.51
     Blink
    -0.50
    got
    -0.49
     apartheid
    -0.48
    POSITIVE LOGITS
     in
    0.97
    xual
    0.88
    pour
    0.87
    luster
    0.83
    over
    0.81
    lust
    0.79
     rate
    0.77
     of
    0.74
     therein
    0.73
     towards
    0.73
    Activations Density 0.160%

    No Known Activations