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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. 9-RES-JB
    11. 8816
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imposed
    -0.77
    orthy
    -0.77
    aques
    -0.76
    iazep
    -0.76
    */(
    -0.71
    otype
    -0.70
    cone
    -0.66
     dstg
    -0.65
    aque
    -0.65
     afforded
    -0.65
    POSITIVE LOGITS
     Customer
    1.08
     us
    0.86
     Owner
    0.81
     Vector
    0.79
     Us
    0.78
     Polic
    0.73
     Anita
    0.73
     Crim
    0.73
     Marketing
    0.71
     sender
    0.71
    Activations Density 0.044%

    No Known Activations