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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. 7-RES-JB
    11. 4943
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    INDEX
    Explanations

    proper nouns related to individuals and locations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize prevalence or commonality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    2500
    -0.71
    amount
    -0.69
    SourceFile
    -0.67
    orically
    -0.66
    fml
    -0.65
    RL
    -0.65
    INESS
    -0.65
    vor
    -0.64
    Attempts
    -0.63
    anan
    -0.63
    POSITIVE LOGITS
     behalf
    1.19
    erous
    1.18
     occasion
    1.09
    site
    1.09
    etime
    1.08
    screen
    1.04
     campus
    0.99
     board
    0.98
    shore
    0.97
    ibaba
    0.94
    Activations Density 0.233%

    No Known Activations