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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. 12554
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    INDEX
    Explanations

    mentions of Amazon Fire devices

    oai_token-act-pair · gpt-3.5-turbo

    references to "Fire" products or services

    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
    ĸļ
    -0.88
    xus
    -0.76
    eday
    -0.75
     Morg
    -0.73
    edy
    -0.69
    eter
    -0.69
     Lans
    -0.68
    atem
    -0.67
    berra
    -0.67
    atown
    -0.67
    POSITIVE LOGITS
    flies
    1.29
    storm
    1.11
    fighter
    1.09
    proof
    1.05
    fighters
    1.01
    fly
    1.01
    bird
    0.97
    bats
    0.96
    birds
    0.95
    storms
    0.95
    Activations Density 0.031%

    No Known Activations