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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. 6-RES-JB
    11. 4200
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    Explanations

    phrases related to comprehensive plans, strategies, or solutions

    oai_token-act-pair · gpt-3.5-turbo

    references to comprehensive approaches or policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    birds
    -0.87
    ween
    -0.81
    hao
    -0.75
    zees
    -0.75
    bird
    -0.74
    yards
    -0.72
    flies
    -0.72
    yard
    -0.71
    eem
    -0.70
    eez
    -0.70
    POSITIVE LOGITS
    rehensive
    1.10
     overhaul
    0.96
     comprehensive
    0.87
     coverage
    0.85
    bred
    0.84
     overview
    0.84
    ãĤ¢ãĥ«
    0.81
     solution
    0.76
     examination
    0.76
     package
    0.75
    Activations Density 0.024%

    No Known Activations