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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. 9-RES-JB
    11. 19652
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    Explanations

    terms related to movies and filmmaking

    oai_token-act-pair · gpt-3.5-turbo

    themes related to the regrouping or reunion of characters or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roximately
    -0.73
    arij
    -0.66
    TPPStreamerBot
    -0.65
    intention
    -0.64
    terness
    -0.62
    iculty
    -0.62
    INESS
    -0.62
    Story
    -0.60
    itionally
    -0.60
    justice
    -0.60
    POSITIVE LOGITS
     latter
    0.81
     ".
    0.80
    )).
    0.78
    ?).
    0.76
    ]).
    0.73
     respectively
    0.70
     Harlem
    0.69
    .).
    0.67
     hilar
    0.66
     fame
    0.66
    Activations Density 1.581%

    No Known Activations