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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. 22026
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    Explanations

    movies and entertainment-related texts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific television shows and episodes

    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
    ancial
    -0.76
    Ô
    -0.75
    @#&
    -0.74
    displayText
    -0.71
     largeDownload
    -0.70
    incial
    -0.68
    ãĤ´
    -0.66
    cffffcc
    -0.64
    soType
    -0.63
    uliffe
    -0.62
    POSITIVE LOGITS
     Devi
    0.59
     Tie
    0.58
     Boo
    0.58
     Sm
    0.58
     vice
    0.57
     Bass
    0.57
     CLR
    0.57
     PV
    0.57
     Baz
    0.56
     ours
    0.55
    Activations Density 0.375%

    No Known Activations