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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. 4-RES-JB
    11. 24181
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    Explanations

    direct relationships or connections between entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to direct relationships or connections

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

    No Comments

    Negative Logits
    abies
    -0.88
     Mell
    -0.81
     Peb
    -0.79
    nesota
    -0.76
    anners
    -0.75
    tex
    -0.74
     Kenny
    -0.73
     Boys
    -0.70
    ucket
    -0.69
     Norn
    -0.68
    POSITIVE LOGITS
     direct
    0.95
     sunlight
    0.92
    eur
    0.90
     indirect
    0.78
    oire
    0.76
    orial
    0.75
     confrontation
    0.74
     injection
    0.74
    orship
    0.73
     opposite
    0.73
    Activations Density 0.014%

    No Known Activations