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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 11755
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    INDEX
    Explanations

    mentions of harbors

    oai_token-act-pair · gpt-3.5-turbo

    references to harbors or similar locations

    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
    eds
    -0.81
    cious
    -0.78
    iod
    -0.78
     millenn
    -0.71
    TPPStreamerBot
    -0.71
    LM
    -0.68
    ener
    -0.68
    andr
    -0.66
    ammy
    -0.64
    yson
    -0.63
    POSITIVE LOGITS
     harbor
    1.23
     harbour
    1.11
    bors
    0.97
     harb
    0.95
    lot
    0.82
     cove
    0.79
     Spit
    0.74
     Harbor
    0.73
    lash
    0.72
    rait
    0.70
    Activations Density 0.009%

    No Known Activations