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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. 7-RES-JB
    11. 5286
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    Explanations

    terms related to the physical texture of being crisp

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to texture and clarity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    manship
    -0.82
    pool
    -0.75
    NetMessage
    -0.75
    front
    -0.74
    mart
    -0.73
    rider
    -0.71
    rooms
    -0.70
    Walker
    -0.69
    caster
    -0.68
    fell
    -0.67
    POSITIVE LOGITS
    ufact
    0.91
    aneous
    0.80
    ulate
    0.74
    ©¶æ
    0.72
    imov
    0.69
    iple
    0.68
    eland
    0.67
     prevailed
    0.66
    reet
    0.65
    pora
    0.64
    Activations Density 0.118%

    No Known Activations