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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. 14249
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    Explanations

    text related to claims or assertions of various kinds

    oai_token-act-pair · gpt-3.5-turbo

    words related to claims and assertions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     arrang
    -0.80
    schild
    -0.73
     Carbuncle
    -0.72
    bern
    -0.71
     Adventures
    -0.68
    odes
    -0.68
    izo
    -0.67
    keys
    -0.66
    stable
    -0.65
    omez
    -0.63
    POSITIVE LOGITS
    ifications
    0.82
    ulence
    0.79
    fulness
    0.78
    orial
    0.76
    ulent
    0.75
    Claim
    0.74
    edly
    0.73
     deduction
    0.66
     against
    0.65
    icist
    0.65
    Activations Density 0.035%

    No Known Activations