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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. 6-RES-JB
    11. 23817
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    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scale
    -0.69
     behavi
    -0.66
     cens
    -0.65
     instant
    -0.63
     GOODMAN
    -0.63
     disadvant
    -0.62
     [];
    -0.61
     overwhelming
    -0.61
     progression
    -0.60
     instr
    -0.60
    POSITIVE LOGITS
    ËĪ
    0.78
    oqu
    0.77
    ilingual
    0.77
    iverpool
    0.74
    itars
    0.72
    itcher
    0.72
    luaj
    0.72
    uga
    0.71
    ilater
    0.69
    ossier
    0.69
    Activations Density 0.440%

    No Known Activations