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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. 0-RES-JB
    11. 10311
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    oai_token-act-pair · gpt-3.5-turbo

    hexadecimal values or color codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    kat
    -0.71
    ado
    -0.69
     knee
    -0.69
    ken
    -0.65
    jad
    -0.65
    chell
    -0.64
    tem
    -0.62
    sbm
    -0.62
    cheon
    -0.61
     tar
    -0.61
    POSITIVE LOGITS
    cientious
    0.73
    ONSORED
    0.71
    advertisement
    0.69
    herty
    0.67
    azeera
    0.66
    ortment
    0.66
    æ©
    0.64
     investigates
    0.64
     supervisors
    0.63
     defends
    0.62
    Activations Density 0.000%

    No Known Activations