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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. 8-RES-JB
    11. 8600
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    Explanations

    phrases related to completion or approval

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to checks and evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ¬¼
    -0.69
     ILCS
    -0.67
    ufact
    -0.66
    IZE
    -0.66
     cov
    -0.63
    ãĥ´ãĤ¡
    -0.62
     Plain
    -0.60
     Galile
    -0.60
    ournal
    -0.59
     Dakota
    -0.58
    POSITIVE LOGITS
    lish
    1.25
    lers
    1.16
    ling
    1.12
    ety
    1.07
    les
    1.07
    led
    1.05
    eting
    0.93
    leness
    0.93
    boxes
    0.92
    ler
    0.89
    Activations Density 0.041%

    No Known Activations