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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. 7-RES-JB
    11. 9949
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    Explanations

    details related to legal matters or historical events

    oai_token-act-pair · gpt-3.5-turbo

    references to varied types of activities or events across different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ournal
    -0.68
    essage
    -0.59
    escription
    -0.58
    yss
    -0.57
    anyahu
    -0.56
     *)
    -0.55
    psons
    -0.53
    ngth
    -0.53
     cannabin
    -0.52
    trak
    -0.52
    POSITIVE LOGITS
    '.
    0.85
    $.
    0.77
    %.
    0.75
    +.
    0.71
    ().
    0.70
    ".
    0.70
    *.
    0.69
    ''.
    0.69
    .[
    0.66
    .'
    0.65
    Activations Density 1.850%

    No Known Activations