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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. 9033
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    INDEX
    Explanations

    inclusive language indicating a general population or group

    oai_token-act-pair · gpt-3.5-turbo

    statements about common beliefs or universal experiences

    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
     ................
    -0.67
    ĸļ
    -0.61
    uggest
    -0.60
    ]+
    -0.60
     actionGroup
    -0.59
     Incre
    -0.58
     Mub
    -0.57
    inders
    -0.57
     Gore
    -0.57
     Hover
    -0.56
    POSITIVE LOGITS
     necessarily
    0.70
    asio
    0.68
    hetti
    0.67
    teness
    0.66
    acea
    0.65
    kowski
    0.65
    perture
    0.64
    ones
    0.63
     appe
    0.61
    oor
    0.59
    Activations Density 0.089%

    No Known Activations