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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. 3-RES-JB
    11. 23261
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    Explanations

    numerical values related to time or measurement

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly large numbers associated with scores or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oha
    -0.80
    fare
    -0.76
    piece
    -0.75
    orical
    -0.74
    noon
    -0.74
    sworth
    -0.73
    usky
    -0.73
    ITNESS
    -0.72
     Organisation
    -0.71
    OE
    -0.69
    POSITIVE LOGITS
    PDATE
    0.88
     certs
    0.75
    ONSORED
    0.75
     tremend
    0.75
    acebook
    0.74
    henko
    0.73
    geoning
    0.73
    iants
    0.73
    aution
    0.72
     MHz
    0.71
    Activations Density 0.032%

    No Known Activations