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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
    11. 23947
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    legal terminology and discussions involving arguments or positions

    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
    ãĥĺ
    -0.71
    iac
    -0.69
    milo
    -0.68
    instance
    -0.64
    sis
    -0.63
    src
    -0.63
    ãĥīãĥ©ãĤ´ãĥ³
    -0.62
    EStreamFrame
    -0.62
    sin
    -0.62
    POST
    -0.62
    POSITIVE LOGITS
     themselves
    1.07
     unanimously
    0.95
     alike
    0.83
     unison
    0.77
     their
    0.77
     respectively
    0.76
     overwhelmingly
    0.74
    selves
    0.74
     Monday
    0.72
     Tuesday
    0.72
    Activations Density 0.437%

    No Known Activations