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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. 4-RES-JB
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    Explanations

    names of individuals related to specific legal and political incidents

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals related to legal or controversial situations

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

    No Comments

    Negative Logits
    gdala
    -0.83
    ħĭ
    -0.83
    ¶æ
    -0.81
    comed
    -0.78
    nai
    -0.76
    ĨĴ
    -0.71
    tics
    -0.70
     Babel
    -0.66
    overs
    -0.65
    å¹
    -0.65
    POSITIVE LOGITS
    ufact
    0.70
     Dres
    0.69
     Zam
    0.65
    reau
    0.64
     Lov
    0.63
    email
    0.63
     wills
    0.62
     admin
    0.61
    quez
    0.61
     fielding
    0.60
    Activations Density 0.037%

    No Known Activations