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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. 4892
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    Explanations

    words related to actions involving repetition or restoration

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concepts of reopening, branding, and reusing

    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
    Not in Any Lists

    No Comments

    Negative Logits
    iop
    -0.67
    mpeg
    -0.67
    TW
    -0.66
    llah
    -0.63
    owler
    -0.63
    elo
    -0.60
     disse
    -0.59
    aley
    -0.59
    ilo
    -0.58
    sky
    -0.58
    POSITIVE LOGITS
    issance
    1.10
    foundland
    0.78
    xual
    0.77
    ITED
    0.76
     Magicka
    0.72
    owship
    0.71
    burse
    0.71
    eering
    0.70
    tenance
    0.70
    ilitating
    0.69
    Activations Density 0.181%

    No Known Activations