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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
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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 @ 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
     Raz
    -0.57
     charism
    -0.56
     supra
    -0.56
    etheless
    -0.55
     Russo
    -0.54
     Cheong
    -0.54
    olyn
    -0.54
     Dew
    -0.54
    illet
    -0.53
    ymm
    -0.53
    POSITIVE LOGITS
    urized
    0.96
    urable
    0.88
    eval
    0.81
    uring
    0.76
    bol
    0.74
    udic
    0.72
    print
    0.71
    ynthesis
    0.71
    eting
    0.71
    ured
    0.68
    Activations Density 0.928%

    No Known Activations