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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. 1-RES-JB
    11. 6993
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    Explanations

    expressions of surprise or realization

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or exclamation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.85
    [_
    -0.84
    eers
    -0.84
    IUM
    -0.75
    ":["
    -0.74
    ãĤ¼ãĤ¦ãĤ¹
    -0.73
    BOOK
    -0.73
    ãĥģ
    -0.73
    IDENT
    -0.67
    ãĥ¯
    -0.67
    POSITIVE LOGITS
    umph
    1.06
    oh
    0.96
    hhhh
    0.96
     Oh
    0.95
     Huh
    0.88
    Oh
    0.85
    oho
    0.84
     yeah
    0.83
    terness
    0.82
     Yeah
    0.82
    Activations Density 0.008%

    No Known Activations