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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. 14887
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    Explanations

    dates mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dates

    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
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    No Comments

    Negative Logits
    HAEL
    -0.77
    æĸ¹
    -0.74
    BLIC
    -0.70
     ACTIONS
    -0.69
    Beh
    -0.68
    acs
    -0.68
    iability
    -0.66
     Flavoring
    -0.66
    hell
    -0.66
    edIn
    -0.65
    POSITIVE LOGITS
     TBD
    0.86
     stamp
    0.84
     stamped
    0.82
     palms
    0.78
     stamps
    0.75
    line
    0.75
     circled
    0.74
    book
    0.73
    blank
    0.71
    lot
    0.69
    Activations Density 0.043%

    No Known Activations