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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 21938
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    Explanations

    text related to spatial concepts or locations

    oai_token-act-pair · gpt-3.5-turbo

    indicators of urgency or critical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĦ
    -0.64
     Canaver
    -0.60
    ãĥ¯ãĥ³
    -0.60
    DCS
    -0.59
    ãĤ¢ãĥ«
    -0.57
    ":{"
    -0.55
    NSA
    -0.54
    IDENT
    -0.54
    Ħ¢
    -0.54
    issance
    -0.54
    POSITIVE LOGITS
     theirs
    0.65
    .;
    0.63
     pts
    0.55
     tho
    0.52
     meanwhile
    0.51
    onite
    0.50
    %;
    0.50
    ;}
    0.50
    ;
    0.48
     [];
    0.48
    Activations Density 2.022%

    No Known Activations