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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. 11-RES-JB
    11. 5957
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    Explanations

    mentions of polarized opinions and personal characteristics in a formal context

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong opinions and associations related to social issues and individual behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =#
    -0.82
    è£ħ
    -0.70
    pps
    -0.68
    ynam
    -0.66
    \":
    -0.63
    igate
    -0.62
    mble
    -0.62
    Ñĭ
    -0.60
    ulla
    -0.60
     yourselves
    -0.60
    POSITIVE LOGITS
     but
    1.06
     preferring
    0.99
     attends
    0.98
     enjoys
    0.97
     loves
    0.96
     albeit
    0.96
     wears
    0.95
     spends
    0.92
     hates
    0.91
     whereas
    0.91
    Activations Density 0.279%

    No Known Activations