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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. 1833
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    Explanations

    labels or words related to labeling and classification

    oai_token-act-pair · gpt-3.5-turbo

    terms related to labeling and labels

    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
    issance
    -0.81
    ctica
    -0.69
    aldi
    -0.66
     Lanka
    -0.65
    ashington
    -0.64
    tein
    -0.64
    aldo
    -0.63
    abama
    -0.62
    udos
    -0.62
    rouch
    -0.61
    POSITIVE LOGITS
    mate
    0.84
    mates
    0.83
    ovan
    0.80
    cloth
    0.79
    coat
    0.75
    mark
    0.75
    red
    0.75
     label
    0.74
     labels
    0.73
     bearer
    0.72
    Activations Density 0.048%

    No Known Activations