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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. 9-RES-JB
    11. 3373
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    Explanations

    proper nouns related to specific individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Bolivia and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.73
    wives
    -0.64
    umbn
    -0.60
    ral
    -0.57
    keleton
    -0.55
     Azerbai
    -0.55
    repeat
    -0.55
    RAL
    -0.54
     Reserved
    -0.54
     Okin
    -0.54
    POSITIVE LOGITS
    inas
    0.89
    opsis
    0.89
     Aires
    0.84
    acci
    0.83
    illet
    0.80
    ħĭ
    0.79
    nikov
    0.72
    reau
    0.71
    ãĤ¶
    0.71
    lehem
    0.70
    Activations Density 0.194%

    No Known Activations