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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. 1-RES-JB
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    Explanations

    references to different seas and bodies of water

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various seas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IBLE
    -0.78
    ivalent
    -0.77
    cussion
    -0.75
    iaries
    -0.75
    Interstitial
    -0.73
    arantine
    -0.72
    imated
    -0.71
    icles
    -0.70
    ication
    -0.69
    icator
    -0.69
    POSITIVE LOGITS
     Sea
    1.04
     Scrolls
    0.93
    Sea
    0.88
    plane
    0.86
     Islands
    0.82
     Ocean
    0.82
     Deity
    0.81
     Spit
    0.78
     Rover
    0.77
    water
    0.76
    Activations Density 0.005%

    No Known Activations