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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. 18455
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    Explanations

    adjectives describing a short length of time or content

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "brief"

    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
    âĹ¼
    -0.80
    ceans
    -0.77
    GO
    -0.70
    JV
    -0.69
    GREEN
    -0.67
    ç¥ŀ
    -0.66
    Drive
    -0.66
    DO
    -0.63
     PARK
    -0.62
    rogens
    -0.62
    POSITIVE LOGITS
    cases
    1.24
    case
    1.19
     glimps
    0.89
    aneously
    0.85
     stint
    0.84
    erate
    0.83
    isode
    0.78
    ebin
    0.78
    itud
    0.76
     foray
    0.75
    Activations Density 0.010%

    No Known Activations