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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. 11-RES-JB
    11. 23292
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    Explanations

    licenses and attributions mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to Creative Commons licensing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lans
    -0.67
    metry
    -0.65
     Duck
    -0.64
    strument
    -0.64
    gery
    -0.63
     dish
    -0.62
     humble
    -0.60
    velt
    -0.59
     Haku
    -0.59
     menstrual
    -0.59
    POSITIVE LOGITS
    ritical
    1.15
    entric
    1.13
    lean
    1.09
    arthy
    1.07
    ategory
    1.06
    redits
    0.99
    olor
    0.96
    ription
    0.93
    RAFT
    0.93
    ording
    0.91
    Activations Density 0.054%

    No Known Activations