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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. 1692
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    Explanations

    phrases related to social judgment or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating judgement or evaluation

    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
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    Negative Logits
    clair
    -0.65
     flanked
    -0.63
    asio
    -0.61
    ingu
    -0.61
     VIDEOS
    -0.60
     Nikon
    -0.55
    utra
    -0.54
    ensor
    -0.54
    Dutch
    -0.54
     Tycoon
    -0.54
    POSITIVE LOGITS
     upon
    0.92
    own
    0.85
    @@@@
    0.81
    ãĥ¥
    0.72
    entious
    0.70
    arthed
    0.69
    ivable
    0.68
    DERR
    0.66
    ãĤ¡
    0.65
    fare
    0.65
    Activations Density 0.137%

    No Known Activations