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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. 2-RES-JB
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    Explanations

    the name "Whitney"

    oai_token-act-pair · gpt-4-turbo

    proper nouns, specifically names of individuals or companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific people, particularly those named Whitney or Whitman

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icably
    -0.80
    anwhile
    -0.79
    avez
    -0.75
    spring
    -0.75
    Downloadha
    -0.72
    cffff
    -0.72
    erala
    -0.68
    UGE
    -0.68
    ties
    -0.67
    uncture
    -0.67
    POSITIVE LOGITS
     Whitney
    1.22
     Cummings
    0.94
    ney
    0.86
    burgh
    0.85
    bum
    0.85
    ville
    0.80
    Whit
    0.80
     Tracy
    0.80
    brook
    0.76
     Pratt
    0.76
    Activations Density 0.006%

    No Known Activations