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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. 14290
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    Explanations

    YouTube video URLs in different formats

    oai_token-act-pair · gpt-3.5-turbo

    query parameters commonly used in web URLs

    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
    issance
    -0.83
    theless
    -0.70
    alled
    -0.65
     Machina
    -0.64
     proced
    -0.62
     conclud
    -0.62
    arnaev
    -0.62
     reeling
    -0.61
     DRAG
    -0.61
     creeps
    -0.60
    POSITIVE LOGITS
    utm
    1.05
    pb
    0.82
    username
    0.81
    govtrack
    0.79
    feature
    0.79
    mt
    0.78
    sa
    0.78
    id
    0.77
    lang
    0.77
    dn
    0.75
    Activations Density 0.029%

    No Known Activations