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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. 2-RES-JB
    11. 7080
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    Explanations

    dates expressed in the format "Apr DD"

    oai_token-act-pair · gpt-3.5-turbo

    dates or timestamps mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    anza
    -0.72
    culosis
    -0.67
    ratulations
    -0.66
    geist
    -0.63
    lords
    -0.62
    swick
    -0.62
    gling
    -0.62
     LORD
    -0.61
    ROR
    -0.60
    ancial
    -0.60
    POSITIVE LOGITS
    Apr
    1.14
    utical
    0.90
     Apr
    0.85
    onso
    0.82
     apr
    0.81
     Fool
    0.81
    ilion
    0.78
    iper
    0.77
    illon
    0.77
    uce
    0.76
    Activations Density 0.003%

    No Known Activations