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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. 14036
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    Explanations

    references to beach-related locations or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to beaches

    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
    士
    -0.75
    ioch
    -0.75
    Interstitial
    -0.72
    thumbnails
    -0.72
    ativity
    -0.72
    atures
    -0.65
    nesota
    -0.64
    NESS
    -0.63
    LM
    -0.61
    WIND
    -0.61
    POSITIVE LOGITS
    front
    0.98
    goers
    0.96
     volleyball
    0.91
    side
    0.88
     Splash
    0.88
     Boys
    0.84
     Resort
    0.82
    tub
    0.81
    apon
    0.80
    Lago
    0.78
    Activations Density 0.032%

    No Known Activations