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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. 1-RES-JB
    11. 13355
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    Explanations

    words related to a specific location or person named "Rin"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or geographic names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hurricanes
    -0.81
     predictive
    -0.71
    */(
    -0.67
     behav
    -0.67
     Alph
    -0.65
     fine
    -0.65
    ramid
    -0.64
    Trend
    -0.63
     downed
    -0.62
     fateful
    -0.61
    POSITIVE LOGITS
    rin
    1.36
    ned
    1.00
    ners
    0.99
    thal
    0.93
    ner
    0.93
    ergic
    0.92
    fur
    0.91
    quin
    0.88
    stal
    0.86
    izont
    0.84
    Activations Density 0.007%

    No Known Activations