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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. 7636
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    INDEX
    Explanations

    quotations indicated by the word "wrote"

    oai_token-act-pair · gpt-3.5-turbo

    instances of reporting or citations in statements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Ĭ±
    -0.79
    illon
    -0.76
    Enlarge
    -0.73
    nel
    -0.71
    ackle
    -0.70
     squared
    -0.68
     ILCS
    -0.67
    aur
    -0.66
    alon
    -0.66
    allows
    -0.66
    POSITIVE LOGITS
     memos
    0.83
     penned
    0.80
    smanship
    0.79
     eloqu
    0.78
     essays
    0.73
     poems
    0.72
     letters
    0.72
     written
    0.72
    BOOK
    0.72
     scathing
    0.71
    Activations Density 0.037%

    No Known Activations