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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. 4840
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    Explanations

    words related to professing beliefs or opinions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to professions and declarations

    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
     Takeru
    -0.73
     pige
    -0.70
     injection
    -0.70
     cooker
    -0.68
    ammy
    -0.67
    miah
    -0.65
     Royale
    -0.63
     Rounds
    -0.63
    ariat
    -0.62
    OTA
    -0.62
    POSITIVE LOGITS
    orship
    1.00
    orial
    0.97
    edly
    0.91
    ership
    0.83
     profess
    0.82
    rodu
    0.81
    ial
    0.80
    erers
    0.79
    xual
    0.77
    acular
    0.77
    Activations Density 0.023%

    No Known Activations