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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. 3789
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    Explanations

    mentions of horses

    oai_token-act-pair · gpt-3.5-turbo

    references to horses

    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
    iaries
    -1.01
    âĶģ
    -0.87
    ukong
    -0.82
    iance
    -0.75
    lections
    -0.74
     newsp
    -0.73
    ostic
    -0.71
    ividual
    -0.70
    ruct
    -0.70
    licted
    -0.69
    POSITIVE LOGITS
    meat
    1.12
    fish
    1.06
     horses
    1.06
    men
    1.05
     Horses
    1.04
    poke
    1.03
    manship
    0.98
    horse
    0.96
    hair
    0.96
    women
    0.93
    Activations Density 0.010%

    No Known Activations