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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. 1693
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    Explanations

    phrases related to public appearances or events

    oai_token-act-pair · gpt-3.5-turbo

    references to "stand-up" performances or comedy

    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
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.67
     constitu
    -0.66
    jri
    -0.60
     Rica
    -0.59
     Seym
    -0.59
    ãģ®éŃĶ
    -0.58
    cffff
    -0.58
    Ĥª
    -0.57
     Rican
    -0.57
    cffffcc
    -0.57
    POSITIVE LOGITS
    alone
    1.32
    bys
    1.07
    up
    1.03
    through
    0.94
    offs
    0.94
    outs
    0.93
    ups
    0.92
    around
    0.92
    off
    0.91
    away
    0.91
    Activations Density 0.022%

    No Known Activations