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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. 19509
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    Explanations

    references to visual elements or qualities

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to visual elements and representations

    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
    doms
    -0.82
    olid
    -0.75
    qv
    -0.74
    KEN
    -0.74
    unin
    -0.74
    shire
    -0.73
    uddin
    -0.72
    gger
    -0.71
    lot
    -0.70
    olicy
    -0.70
    POSITIVE LOGITS
    izations
    1.21
    isations
    1.20
    isation
    1.02
    ized
    1.00
    izing
    0.96
    izable
    0.94
    izer
    0.91
    ization
    0.90
    isable
    0.89
    ised
    0.87
    Activations Density 0.014%

    No Known Activations