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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. 17050
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    Explanations

    mentions of the platform "Youtube"

    oai_token-act-pair · gpt-3.5-turbo

    references to YouTube and phrases indicating group settings or numeric thresholds

    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
    ity
    -0.75
    ly
    -0.73
    iosity
    -0.66
    iants
    -0.66
    iens
    -0.65
    gency
    -0.64
    lers
    -0.64
    tain
    -0.64
    phrine
    -0.63
    gling
    -0.63
    POSITIVE LOGITS
    chnology
    1.03
    sembly
    0.88
    yip
    0.81
     obser
    0.77
    izoph
    0.76
    selves
    0.75
    ocre
    0.75
    apons
    0.75
    essage
    0.74
    merce
    0.70
    Activations Density 0.028%

    No Known Activations