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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. 17354
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    Explanations

    names of individuals in the context of official statements or reports

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically personal names and titles within the text

    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
    DragonMagazine
    -0.95
    tumblr
    -0.69
     sidx
    -0.68
     mischief
    -0.67
     snowball
    -0.67
     womb
    -0.65
    gettable
    -0.64
     careers
    -0.63
    VALUE
    -0.63
     menstru
    -0.62
    POSITIVE LOGITS
     Garrett
    0.86
     Vance
    0.86
     Walsh
    0.82
     Bennett
    0.81
     Dillon
    0.79
     Hogan
    0.77
     Brooks
    0.77
     Ion
    0.77
     Thompson
    0.76
     Grant
    0.76
    Activations Density 0.204%

    No Known Activations