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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. 19826
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.84
    uador
    -0.70
    ITNESS
    -0.68
     NAME
    -0.59
     Document
    -0.58
    pmwiki
    -0.58
    ÃįÃį
    -0.57
    UGC
    -0.57
    ãĥ¯ãĥ³
    -0.57
     GOODMAN
    -0.57
    POSITIVE LOGITS
     glide
    0.66
    Lago
    0.66
    pell
    0.65
     Igor
    0.63
    dfx
    0.62
     endif
    0.62
    lace
    0.62
     fold
    0.60
     Malk
    0.59
     lash
    0.59
    Activations Density 0.890%

    No Known Activations