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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. 3-RES-JB
    11. 9437
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    Explanations

    names

    oai_token-act-pair · gpt-3.5-turbo

    names associated with significant political figures or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chall
    -0.84
    liness
    -0.83
    staff
    -0.81
    rats
    -0.75
    teen
    -0.75
    $$$$
    -0.74
    naire
    -0.74
    robe
    -0.73
    rio
    -0.73
    bage
    -0.73
    POSITIVE LOGITS
     Pwr
    0.75
     horr
    0.74
     Koen
    0.73
    byss
    0.71
    ikawa
    0.68
    izabeth
    0.67
     worsh
    0.64
    phabet
    0.64
     Sharon
    0.62
    idem
    0.62
    Activations Density 0.024%

    No Known Activations