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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. 9-RES-JB
    11. 13947
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    INDEX
    Explanations

    comparisons between two items or concepts

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases or contrasts between different subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    watching
    -0.68
    uly
    -0.64
    ute
    -0.62
    icides
    -0.60
    MAT
    -0.60
    icide
    -0.60
    Marginal
    -0.59
    ragon
    -0.59
    mma
    -0.58
    liv
    -0.58
    POSITIVE LOGITS
     differently
    0.94
     differs
    0.94
     renamed
    0.92
     instead
    0.86
     simplified
    0.85
    different
    0.84
     sharper
    0.82
     different
    0.82
     differing
    0.81
     shorter
    0.81
    Activations Density 0.295%

    No Known Activations