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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. 16560
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    Explanations

    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    the word "by" in 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
    Not in Any Lists

    No Comments

    Negative Logits
    ettes
    -0.73
     redistributed
    -0.72
    ãĤ¦ãĤ¹
    -0.71
    ãĤ£
    -0.70
    etting
    -0.68
    heed
    -0.66
    puff
    -0.66
    gb
    -0.65
    hene
    -0.64
    eal
    -0.64
    POSITIVE LOGITS
     virtue
    0.97
     Seymour
    0.92
     archaeologists
    0.89
     passers
    0.82
     Collider
    0.82
     investigators
    0.78
     researchers
    0.77
     historians
    0.77
     Koen
    0.77
     Forbes
    0.77
    Activations Density 0.122%

    No Known Activations