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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. 11-RES-JB
    11. 14624
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    INDEX
    Explanations

    scenes in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    references to notable scenes in films or television

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iott
    -0.95
    orem
    -0.91
    ikarp
    -0.75
    gemony
    -0.74
    rab
    -0.72
    ileen
    -0.66
    artisan
    -0.66
    isks
    -0.66
    sie
    -0.65
     Policy
    -0.65
    POSITIVE LOGITS
     depicting
    1.21
     scenes
    1.19
     filmed
    1.16
     involving
    1.12
    Dialogue
    1.10
     unfolding
    1.09
     Scenes
    1.08
     unfold
    1.06
     featuring
    1.01
     starring
    0.99
    Activations Density 0.076%

    No Known Activations