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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. 3436
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    Explanations

    German sentences/passages

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or places

    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
    Sharp
    -0.82
    RAW
    -0.76
    iewicz
    -0.70
    PsyNetMessage
    -0.63
    Bright
    -0.63
    Rated
    -0.62
    IAN
    -0.61
     Lines
    -0.61
    Mania
    -0.60
    advertisement
    -0.60
    POSITIVE LOGITS
    erent
    0.75
     il
    0.70
     bes
    0.69
     los
    0.67
     qui
    0.66
     dire
    0.65
    itud
    0.65
    quer
    0.65
    ĸļ
    0.65
     produ
    0.64
    Activations Density 0.172%

    No Known Activations