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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. 11165
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values and references to political parties or figures

    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
    paio
    -0.72
    Þ
    -0.65
    ò
    -0.64
    igators
    -0.64
     practition
    -0.63
    ñ
    -0.61
     eleph
    -0.61
     wholes
    -0.60
     thous
    -0.59
    agna
    -0.59
    POSITIVE LOGITS
    tenance
    0.70
    1966
    0.70
    fleet
    0.68
    678
    0.67
    0100
    0.67
     ILCS
    0.66
    JB
    0.66
    0010
    0.66
    mber
    0.66
    JD
    0.66
    Activations Density 0.109%

    No Known Activations