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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. 10-RES-JB
    11. 18597
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    INDEX
    Explanations

    words related to taking action or making progress

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating importance or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    blance
    -0.69
    creen
    -0.67
    brates
    -0.65
    vironment
    -0.64
     Millennium
    -0.63
    brate
    -0.63
    baum
    -0.61
    uates
    -0.61
    576
    -0.60
    yip
    -0.60
    POSITIVE LOGITS
    regn
    1.46
    romptu
    1.44
    otent
    1.40
    ulsive
    1.35
    ossibly
    1.34
    urities
    1.29
    orters
    1.22
    assion
    1.22
    ressive
    1.18
    ressing
    1.17
    Activations Density 0.013%

    No Known Activations