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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. 4144
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    Explanations

    references to mascots

    oai_token-act-pair · gpt-3.5-turbo

    mentions of mascots and characters

    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
    idel
    -0.69
     appointments
    -0.68
     fronts
    -0.68
     transcript
    -0.66
     ND
    -0.65
     fracture
    -0.65
     conditions
    -0.65
     judgment
    -0.65
    ackets
    -0.64
     rupt
    -0.64
    POSITIVE LOGITS
     mascot
    1.29
     dolls
    1.00
     masc
    0.96
     costumes
    0.95
     Dracula
    0.92
    oji
    0.90
     costume
    0.89
     Costume
    0.89
     Pikachu
    0.89
     cartoons
    0.89
    Activations Density 0.083%

    No Known Activations