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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. 24182
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    Explanations

    phrases related to specific details or events

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to discomfort and contentious social issues

    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
    sbm
    -0.67
    /
    -0.65
    umbn
    -0.64
    20439
    -0.62
    arthed
    -0.61
     Seym
    -0.60
    epend
    -0.60
    ãĢij
    -0.58
     ];
    -0.58
    escription
    -0.57
    POSITIVE LOGITS
    ?!
    1.79
    !?
    1.65
     huh
    1.63
    ?
    1.62
    ???
    1.50
    ??
    1.48
    ...?
    1.47
    .?
    1.42
    ?!"
    1.37
    ????
    1.36
    Activations Density 0.903%

    No Known Activations