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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. 0-RES-JB
    11. 10441
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    Explanations

    references to events, actions, or entities associated with celebrations or excitement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fare and transportation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dynam
    -0.71
     Klu
    -0.69
     KB
    -0.68
     naturally
    -0.63
     JC
    -0.62
     controlled
    -0.60
     liquid
    -0.60
     boxes
    -0.59
     Kobe
    -0.59
     trusted
    -0.58
    POSITIVE LOGITS
    fare
    4.97
    riors
    1.38
     Fare
    1.38
    rior
    1.27
     fare
    1.14
    suits
    0.97
    bread
    0.93
    bill
    0.93
    lance
    0.92
    fleet
    0.89
    Activations Density 0.008%

    No Known Activations