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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. 11-RES-JB
    11. 5973
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    INDEX
    Explanations

    superlatives expressing high quality or importance

    oai_token-act-pair · gpt-3.5-turbo

    words indicating excellence or comparative rankings among various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.84
    abase
    -0.79
    terness
    -0.79
    fecture
    -0.78
    uncle
    -0.78
    timer
    -0.78
    visor
    -0.77
    ologue
    -0.77
    brance
    -0.76
    utenant
    -0.76
    POSITIVE LOGITS
     inventions
    1.16
     aspects
    1.13
     periods
    1.12
     examples
    1.09
     professions
    1.05
     pieces
    1.05
     avenues
    1.05
     pillars
    1.03
     mysteries
    1.02
     facets
    1.02
    Activations Density 0.138%

    No Known Activations