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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. 18850
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    Explanations

    statements related to incidents or events

    oai_token-act-pair · gpt-3.5-turbo

    sports-related statistics and events

    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
    nee
    -0.53
    Gaming
    -0.52
    estern
    -0.51
     KING
    -0.50
     STA
    -0.50
     Anime
    -0.50
    igi
    -0.49
     Beasts
    -0.49
     proverb
    -0.49
    omorph
    -0.49
    POSITIVE LOGITS
     whatsoever
    1.24
     nor
    1.12
     anymore
    1.04
     anywhere
    0.87
     slightest
    0.85
    anything
    0.83
    nor
    0.80
    soever
    0.80
     except
    0.79
     anything
    0.78
    Activations Density 0.964%

    No Known Activations