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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. 11709
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    INDEX
    Explanations

    mentions of quantities or percentages in a document

    oai_token-act-pair · gpt-3.5-turbo

    terms related to finance and economic metrics

    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
    udos
    -0.67
    ternity
    -0.64
     conclud
    -0.63
     caution
    -0.62
    inness
    -0.62
    HCR
    -0.61
     motto
    -0.61
    lyak
    -0.61
    zsche
    -0.60
    govtrack
    -0.59
    POSITIVE LOGITS
     affected
    0.70
     unsuspecting
    0.64
     respective
    0.61
     regions
    0.61
     afflicted
    0.60
     constituent
    0.60
     stricken
    0.59
     households
    0.58
     targeted
    0.58
     neighboring
    0.57
    Activations Density 1.105%

    No Known Activations