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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. 3-RES-JB
    11. 9460
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    INDEX
    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    important nouns and phrases related to finality or conclusion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    METHOD
    -0.52
    Definition
    -0.52
    Streamer
    -0.50
    IJ
    -0.49
    romeda
    -0.49
     Arbit
    -0.49
     Bernstein
    -0.48
     Prec
    -0.48
     Forbidden
    -0.48
    WHO
    -0.47
    POSITIVE LOGITS
    =""
    0.63
    omore
    0.61
    izont
    0.57
    uania
    0.56
    yne
    0.55
    ymes
    0.55
    deen
    0.54
    conservancy
    0.53
    antes
    0.53
    ashtra
    0.52
    Activations Density 1.640%

    No Known Activations