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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. 2269
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    Explanations

    words related to determining or decision-making processes

    oai_token-act-pair · gpt-3.5-turbo

    words related to determination and decision-making

    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
    ospons
    -0.61
     tremend
    -0.61
     Safari
    -0.60
     hardest
    -0.59
     Franch
    -0.58
     penetration
    -0.58
    doors
    -0.58
     sidel
    -0.57
     client
    -0.55
     photoc
    -0.55
    POSITIVE LOGITS
    ptions
    1.11
    ptive
    0.99
    ations
    0.94
    ative
    0.93
    uable
    0.92
    ate
    0.92
    uating
    0.91
    gent
    0.88
    ially
    0.88
    ptives
    0.87
    Activations Density 0.080%

    No Known Activations