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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. 8-RES-JB
    11. 8101
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and locations related to events or performances

    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
    weak
    -0.57
     valued
    -0.57
    utm
    -0.56
    ement
    -0.54
     mild
    -0.53
    eph
    -0.53
     XD
    -0.53
    cow
    -0.53
     springs
    -0.52
     spring
    -0.52
    POSITIVE LOGITS
    ESSION
    0.77
     Sven
    0.69
    "]=>
    0.69
    ª
    0.63
    én
    0.63
    ?????-
    0.62
    \":
    0.62
     Mane
    0.60
     Invaders
    0.59
     Rally
    0.59
    Activations Density 0.158%

    No Known Activations