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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. 4-RES-JB
    11. 22537
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    Explanations

    mentions of specific names related to places and people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names, particularly places and individuals associated with significant events

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

    No Comments

    Negative Logits
    doms
    -0.80
    eenth
    -0.76
    VERTISEMENT
    -0.75
    entle
    -0.74
    advertisement
    -0.73
    sat
    -0.73
    20439
    -0.68
    ipedia
    -0.67
     Doodle
    -0.67
    shock
    -0.66
    POSITIVE LOGITS
     Mari
    0.75
     Perry
    0.74
     discharge
    0.71
    ady
    0.67
    ë
    0.66
    ako
    0.65
    usha
    0.65
    anche
    0.64
    anchez
    0.64
     candles
    0.63
    Activations Density 0.016%

    No Known Activations