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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. 5840
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    Explanations

    words related to political parties or organizations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific political party names or affiliations

    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
    TRY
    -0.98
    layer
    -0.82
    opher
    -0.81
    iago
    -0.79
    otti
    -0.79
    yright
    -0.78
    matically
    -0.75
    itude
    -0.75
    gerald
    -0.74
    au
    -0.74
    POSITIVE LOGITS
     Sabha
    1.16
     Yug
    0.87
     Pradesh
    0.85
     Nik
    0.84
     Suk
    0.80
     nerv
    0.77
     Miz
    0.76
     Nare
    0.74
     Bul
    0.73
    akov
    0.73
    Activations Density 0.053%

    No Known Activations