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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. 16714
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    Explanations

    mentions of interviews or conversations

    oai_token-act-pair · gpt-3.5-turbo

    conversational statements and dialogue

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ®
    -0.62
    éŃĶ
    -0.61
     Yet
    -0.60
    %:
    -0.60
     Indeed
    -0.60
     âī¡
    -0.60
    arest
    -0.59
     Thus
    -0.58
     Contains
    -0.57
    Yet
    -0.56
    POSITIVE LOGITS
     somebody
    0.86
     everybody
    0.86
     guys
    0.82
     [
    0.81
     gonna
    0.76
    Coach
    0.73
     ['
    0.73
     uh
    0.72
     kind
    0.72
     Coach
    0.71
    Activations Density 0.829%

    No Known Activations