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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. 3-RES-JB
    11. 8182
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    Explanations

    descriptions or mentions of beaches

    oai_token-act-pair · gpt-3.5-turbo

    mentions and descriptions of beaches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilyn
    -0.72
    Wilson
    -0.71
    Interstitial
    -0.68
    ioch
    -0.66
    cius
    -0.66
    avery
    -0.65
    NESS
    -0.64
    encers
    -0.63
     Flavoring
    -0.62
    edy
    -0.62
    POSITIVE LOGITS
     beach
    1.03
    goers
    1.02
    front
    0.99
     Beach
    0.98
    side
    0.96
     volleyball
    0.94
    walk
    0.88
     beaches
    0.87
    tub
    0.81
     Splash
    0.79
    Activations Density 0.008%

    No Known Activations