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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. 6-RES-JB
    11. 2823
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    Explanations

    conversation-related terms and phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to discussions or dialogues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cheat
    -0.71
    fitting
    -0.68
    anmar
    -0.66
    peria
    -0.66
    imposed
    -0.65
    rule
    -0.65
    metics
    -0.63
    arding
    -0.61
    ract
    -0.61
    atever
    -0.60
    POSITIVE LOGITS
     conversation
    0.97
     overheard
    0.91
    ogue
    0.90
     conversations
    0.87
     banter
    0.83
     Conversation
    0.82
    naire
    0.78
    BACK
    0.76
     chatter
    0.73
    osphere
    0.71
    Activations Density 0.033%

    No Known Activations