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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. 4-RES-JB
    11. 2973
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    Explanations

    proper nouns, specifically related to historical figures and places

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rad" and its variations, indicating a focus on radical themes or concepts

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

    No Comments

    Negative Logits
    bern
    -0.82
    urses
    -0.81
    ãĥīãĥ©
    -0.73
    okane
    -0.69
    hazard
    -0.68
    uckland
    -0.66
    ORTS
    -0.65
    PLA
    -0.64
    TAIN
    -0.64
    upiter
    -0.63
    POSITIVE LOGITS
    iation
    0.99
    icator
    0.95
    itional
    0.93
    irect
    0.90
    iated
    0.89
    ication
    0.89
    icators
    0.86
    icate
    0.85
    algia
    0.84
    rums
    0.83
    Activations Density 0.012%

    No Known Activations