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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

    names of sports players or celebrities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Coleman" and references to "Chevrolet"

    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
    ymm
    -0.77
    terior
    -0.74
    ablishment
    -0.74
    PsyNetMessage
    -0.73
    ocard
    -0.69
    Sab
    -0.68
    govtrack
    -0.67
    screen
    -0.67
    hiro
    -0.66
     NYT
    -0.66
    POSITIVE LOGITS
     Coleman
    1.32
    bilt
    0.84
     fumes
    0.81
    cone
    0.77
     Hawkins
    0.76
    STON
    0.76
    warm
    0.74
     bleach
    0.74
     Dixon
    0.73
     Burnett
    0.73
    Activations Density 0.006%

    No Known Activations