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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. 10-RES-JB
    11. 20506
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    Explanations

    phrases related to hypothetical or potential situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential outcomes or hypotheticals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lawrence
    -0.65
     Ste
    -0.64
     Down
    -0.62
     Goose
    -0.62
     Contrast
    -0.61
     Feld
    -0.61
     reception
    -0.61
     contrasting
    -0.61
     Drawn
    -0.60
     Lod
    -0.60
    POSITIVE LOGITS
    be
    1.30
    issue
    1.00
    say
    0.96
    thinking
    0.95
    minded
    0.93
    always
    0.92
    bes
    0.90
    dos
    0.90
    bodied
    0.90
    formation
    0.90
    Activations Density 0.024%

    No Known Activations