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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. 3564
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    Explanations

    words related to archaeology and historical artifacts

    oai_token-act-pair · gpt-3.5-turbo

    references to archeological terms and concepts

    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
    ingen
    -0.83
    iants
    -0.77
    abad
    -0.73
    glass
    -0.73
    acious
    -0.71
    cake
    -0.69
    ells
    -0.68
    arious
    -0.67
     Grind
    -0.67
    igr
    -0.66
    POSITIVE LOGITS
    types
    0.90
    typ
    0.90
    ttes
    0.84
    ques
    0.83
    thia
    0.83
    que
    0.82
    tta
    0.80
    tto
    0.80
    ty
    0.74
    ãĥĥãĥĪ
    0.74
    Activations Density 0.084%

    No Known Activations