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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. 7359
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    Explanations

    patterns related to numbers in statistics or data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to crime and incidents

    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
    mble
    -0.72
     tremend
    -0.71
    querque
    -0.71
    aunted
    -0.67
    orsi
    -0.67
    ourge
    -0.67
     reluct
    -0.66
     Tanz
    -0.65
    iband
    -0.65
     Nou
    -0.64
    POSITIVE LOGITS
     ILCS
    0.95
    MHz
    0.83
    00
    0.78
    765
    0.77
    806
    0.76
     MHz
    0.76
    91
    0.73
    989
    0.73
    576
    0.71
    GMT
    0.70
    Activations Density 0.083%

    No Known Activations