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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. 18324
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    Explanations

    words related to leadership or being at the forefront of a particular field or industry

    oai_token-act-pair · gpt-3.5-turbo

    references to leadership and specialization within various contexts

    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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    Negative Logits
    nant
    -0.77
    nova
    -0.63
    ults
    -0.61
    ãĥ¼ãĥĨãĤ£
    -0.56
    edom
    -0.54
     wake
    -0.53
    ossom
    -0.53
     underside
    -0.53
     walls
    -0.53
    elf
    -0.52
    POSITIVE LOGITS
     in
    0.98
     therein
    0.86
    inant
    0.78
     insofar
    0.74
    In
    0.72
    ãĥĦ
    0.71
    ently
    0.69
    ibr
    0.66
    ngth
    0.65
    ency
    0.64
    Activations Density 0.613%

    No Known Activations