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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 19451
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    Explanations

    keywords related to audit reports or investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to audits or official evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uesday
    -0.71
     malicious
    -0.68
    xious
    -0.66
     aroma
    -0.66
    icrobial
    -0.65
    lime
    -0.65
    »Ĵ
    -0.64
    afort
    -0.64
     benefic
    -0.63
    ModLoader
    -0.62
    POSITIVE LOGITS
    ELS
    0.73
    ľ
    0.69
    ÃįÃį
    0.66
    ©
    0.66
    OO
    0.65
    Ax
    0.64
    vernment
    0.64
     Nielsen
    0.64
    rote
    0.63
    areth
    0.63
    Activations Density 0.000%

    No Known Activations