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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. 12191
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    Explanations

    adjectives indicating a degree or level of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to evidence or indications of significant events or conditions

    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
     etc
    -0.72
    ?,
    -0.63
    /,
    -0.62
    !!!!
    -0.58
    +,
    -0.57
    !,
    -0.57
    *,
    -0.57
    ,,
    -0.57
     and
    -0.56
     bullshit
    -0.55
    POSITIVE LOGITS
    20439
    0.62
    istered
    0.59
    oenix
    0.58
    anamo
    0.55
    MpServer
    0.55
    aran
    0.51
    pires
    0.51
    azing
    0.50
    astically
    0.50
    emade
    0.49
    Activations Density 0.843%

    No Known Activations