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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. 20772
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    Explanations

    references related to font types and styles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to types and classifications

    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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    No Comments

    Negative Logits
     Zimmer
    -0.69
     Yel
    -0.69
     Bots
    -0.67
    iae
    -0.66
     Morning
    -0.65
     Bills
    -0.65
     Rodrigo
    -0.63
     Wake
    -0.63
    aeper
    -0.61
     Kardash
    -0.61
    POSITIVE LOGITS
    face
    1.46
    faces
    1.39
    ahead
    1.23
    casting
    1.12
    etting
    1.04
    etter
    1.01
    cast
    0.95
    classes
    0.90
    alias
    0.86
     locality
    0.83
    Activations Density 0.047%

    No Known Activations