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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. 3100
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    Explanations

    references to different harbors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various harbors

    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
    uable
    -0.84
    DonaldTrump
    -0.81
    acca
    -0.80
    ongyang
    -0.78
    ivia
    -0.77
    Downloadha
    -0.77
    yson
    -0.73
    ioch
    -0.73
    essee
    -0.72
    chers
    -0.71
    POSITIVE LOGITS
     Harbor
    1.00
     Harbour
    0.89
     Island
    0.85
     Islands
    0.81
     Plaza
    0.81
     Shore
    0.78
    mallow
    0.77
     Ship
    0.74
    front
    0.73
     Islanders
    0.71
    Activations Density 0.006%

    No Known Activations