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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11615
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of an end-of-text marker

    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
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    No Comments

    Negative Logits
    ãĤĬ
    -0.57
    Thumbnail
    -0.55
    ãĥ¥
    -0.54
    ity
    -0.54
    cule
    -0.54
    ¡
    -0.53
    ãĤ£
    -0.53
    minster
    -0.52
    ingly
    -0.52
    EO
    -0.51
    POSITIVE LOGITS
     constitutes
    0.71
     including
    0.70
    udeb
    0.70
     wherein
    0.69
    zbollah
    0.69
     consists
    0.69
     culminating
    0.69
    Downloadha
    0.68
     comprising
    0.67
     emerges
    0.66
    Activations Density 0.416%

    No Known Activations