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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. 21608
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    Explanations

    proper nouns related to specific locations or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the"

    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
    *.
    -0.72
    ãĢģ
    -0.71
    Â
    -0.68
    !.
    -0.68
    \\\\
    -0.67
    uine
    -0.66
    fg
    -0.66
     (#
    -0.65
    ¯
    -0.65
    @#
    -0.64
    POSITIVE LOGITS
    resa
    0.92
     Dalai
    0.90
     Clintons
    0.88
     pope
    0.86
     Rohingya
    0.86
     Houth
    0.83
     justices
    0.82
     gunman
    0.81
     Saudis
    0.80
     Tsarnaev
    0.77
    Activations Density 0.736%

    No Known Activations