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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. 10-RES-JB
    11. 23327
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    INDEX
    Explanations

    comparisons and characteristics of different entities

    oai_token-act-pair · gpt-3.5-turbo

    the presence of phrases that quantify or describe characteristics of subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     congr
    -0.85
     congratulations
    -0.75
    xxxxxxxx
    -0.73
     Definitions
    -0.72
     Cheong
    -0.71
     Franch
    -0.70
    politics
    -0.70
     Tags
    -0.68
     Rosenberg
    -0.68
     Extensions
    -0.66
    POSITIVE LOGITS
     able
    1.50
     prone
    1.47
     capable
    1.43
     incapable
    1.36
     unable
    1.33
     susceptible
    1.31
     immune
    1.22
     adept
    1.21
     reliant
    1.20
     resistant
    1.19
    Activations Density 0.353%

    No Known Activations