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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. 4-RES-JB
    11. 3745
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    Explanations

    references to a specific sports team, the Eagles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Eagles football team

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

    No Comments

    Negative Logits
    icity
    -0.72
    stroke
    -0.72
     redistributed
    -0.66
    ement
    -0.64
    Lenin
    -0.62
    hips
    -0.61
     reconc
    -0.61
    iera
    -0.61
    nant
    -0.61
     istg
    -0.61
    POSITIVE LOGITS
     Eagles
    0.99
    agles
    0.99
    sburg
    0.81
    onian
    0.72
    pps
    0.69
     Outbreak
    0.65
     Stadium
    0.64
    boro
    0.63
     Commissioners
    0.62
     Runes
    0.62
    Activations Density 0.006%

    No Known Activations