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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. 12-RES-JB
    11. 4222
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    timestamps and identifiers related to events or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     forgiven
    -0.75
     reluct
    -0.69
    matically
    -0.67
     fate
    -0.66
     forg
    -0.66
     unaff
    -0.65
     unch
    -0.63
     compr
    -0.62
     unin
    -0.61
     among
    -0.61
    POSITIVE LOGITS
    00
    0.99
    0100
    0.94
    1100
    0.91
    30
    0.91
    01
    0.88
    :{
    0.88
    Aug
    0.88
    0010
    0.86
    \/
    0.84
    WAR
    0.83
    Activations Density 0.047%

    No Known Activations