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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. 23417
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    Explanations

    words related to intermittent or insurmountable situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intermittent conditions and their implications

    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
    eus
    -0.99
    edo
    -0.86
    idth
    -0.77
    smanship
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    ffield
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    ity
    -0.73
    ean
    -0.73
    olt
    -0.73
    enic
    -0.70
    ivil
    -0.70
    POSITIVE LOGITS
    TRY
    0.72
    ptions
    0.72
    ANCE
    0.71
    ciplinary
    0.71
    ãĤ¤ãĥĪ
    0.71
    RESULTS
    0.68
    forcement
    0.66
    ãĤ¶
    0.66
     Cheong
    0.65
    ãĤ¤
    0.65
    Activations Density 0.024%

    No Known Activations