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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. 7366
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    Explanations

    words related to importance and influence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the significance and effectiveness of roles or actions in various contexts

    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
    andals
    -0.86
    classes
    -0.85
    events
    -0.82
     Units
    -0.82
    codes
    -0.80
     Classes
    -0.79
    hops
    -0.79
    laws
    -0.77
    skirts
    -0.76
    facts
    -0.76
    POSITIVE LOGITS
     foothold
    1.02
     role
    0.92
     impression
    0.89
     stance
    0.88
     berth
    0.84
     angle
    0.82
     burden
    0.78
     charge
    0.77
     dive
    0.77
     effort
    0.77
    Activations Density 0.229%

    No Known Activations