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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. 2382
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    INDEX
    Explanations

    objects or topics of focus or importance within the text

    oai_token-act-pair · gpt-3.5-turbo

    expressions emphasizing a singular or predominant concern or focus

    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
    ahime
    -0.86
     [|
    -0.74
    utics
    -0.73
    assetsadobe
    -0.71
    ilings
    -0.70
    tnc
    -0.66
    FIG
    -0.66
    zhen
    -0.65
    uliffe
    -0.65
     Cosponsors
    -0.65
    POSITIVE LOGITS
    soever
    0.95
     whatsoever
    0.83
     conceivable
    0.83
     anymore
    0.82
     sane
    0.81
     imaginable
    0.80
     redeem
    0.78
     semblance
    0.77
     remotely
    0.76
     remaining
    0.76
    Activations Density 0.154%

    No Known Activations