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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. 6-RES-JB
    11. 9338
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    Explanations

    proper nouns related to various fields of study

    oai_token-act-pair · gpt-3.5-turbo

    sections of the text that contain no content or empty sections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     thereto
    -0.73
     forthcoming
    -0.67
     Zac
    -0.66
     thereof
    -0.65
     Judd
    -0.64
    UFC
    -0.63
    20439
    -0.60
    >"
    -0.59
    wn
    -0.59
    cv
    -0.57
    POSITIVE LOGITS
     Basics
    0.85
    osate
    0.82
    tymology
    0.79
    ridges
    0.78
    rification
    0.77
     Types
    0.77
    itionally
    0.76
    profits
    0.76
     Facts
    0.75
     Removal
    0.75
    Activations Density 0.293%

    No Known Activations