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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. 2-RES-JB
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    Explanations

    mentions of deer

    oai_token-act-pair · gpt-3.5-turbo

    references to deer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppard
    -0.74
    ochemical
    -0.70
    acist
    -0.65
    anco
    -0.64
    hran
    -0.64
    sid
    -0.64
    uyomi
    -0.63
    inx
    -0.63
    colo
    -0.63
     Mellon
    -0.62
    POSITIVE LOGITS
     deer
    1.14
     hunter
    0.96
     hunters
    0.93
     herds
    0.86
     beetle
    0.84
     hunting
    0.83
    hunter
    0.79
     herd
    0.76
     carc
    0.76
     Rapids
    0.75
    Activations Density 0.008%

    No Known Activations