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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. 2-RES-JB
    11. 6436
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    vernment
    -0.86
    pmwiki
    -0.78
    umenthal
    -0.78
    cephal
    -0.71
    anwhile
    -0.70
     distingu
    -0.69
    hemy
    -0.68
    lav
    -0.67
    aughs
    -0.67
    otonin
    -0.66
    POSITIVE LOGITS
     Wendy
    0.92
    nesday
    0.91
     Bauer
    0.83
     Tanz
    0.74
     Arbor
    0.73
     Sanford
    0.73
    yu
    0.69
     Crawford
    0.69
    stad
    0.68
    erer
    0.68
    Activations Density 0.014%

    No Known Activations