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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. 16873
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    INDEX
    Explanations

    mentions of animated characters or animated movies

    oai_token-act-pair · gpt-3.5-turbo

    references to animated films and content

    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
    yer
    -0.85
    orr
    -0.79
    ills
    -0.78
    rank
    -0.77
    OA
    -0.74
    ledge
    -0.74
    mith
    -0.73
    ESS
    -0.70
    hoff
    -0.70
    oner
    -0.70
    POSITIVE LOGITS
     GIF
    1.01
     animated
    0.90
     gif
    0.86
    atable
    0.80
    cember
    0.77
    ebted
    0.77
     animation
    0.76
    ocument
    0.76
     Animated
    0.75
    netflix
    0.74
    Activations Density 0.008%

    No Known Activations