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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. 3-RES-JB
    11. 20771
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    INDEX
    Explanations

    mentions of specific places or terms related to events or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to craving or desire related to food and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Democr
    -0.76
    Reviewer
    -0.71
     PLoS
    -0.71
    onym
    -0.70
    ocument
    -0.69
    ORGE
    -0.67
    RAY
    -0.67
     Travels
    -0.66
     Kov
    -0.65
    EX
    -0.63
    POSITIVE LOGITS
    igslist
    1.32
     Cra
    0.99
    fters
    0.93
    bable
    0.92
    isma
    0.83
    veyard
    0.81
    pload
    0.80
    ruciating
    0.80
    atell
    0.79
    uler
    0.79
    Activations Density 0.010%

    No Known Activations