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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. 9-RES-JB
    11. 23248
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    Explanations

    words related to conflicts or disagreements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ere," indicating a focus on references to specific locations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ows
    -0.73
    OWS
    -0.72
     gag
    -0.69
    ailand
    -0.66
    å°Ĩ
    -0.66
    ORE
    -0.66
    owed
    -0.65
    ADVERTISEMENT
    -0.64
    apache
    -0.63
    eston
    -0.60
    POSITIVE LOGITS
    ndum
    1.19
    nda
    1.06
    nder
    1.00
    tta
    0.99
    ng
    0.98
    cht
    0.97
    mma
    0.95
    lda
    0.94
    bral
    0.94
    ttes
    0.91
    Activations Density 0.034%

    No Known Activations