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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. 6-RES-JB
    11. 18919
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    Explanations

    mentions of feature films

    oai_token-act-pair · gpt-3.5-turbo

    references to feature films

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alg
    -0.75
    ça
    -0.74
    cffffcc
    -0.72
    uddin
    -0.71
    sis
    -0.70
    aline
    -0.69
    cel
    -0.69
    apy
    -0.69
     adolesc
    -0.68
     ut
    -0.66
    POSITIVE LOGITS
    ttes
    1.10
    Feature
    0.95
    orial
    0.86
     prominently
    0.83
     Features
    0.79
     features
    0.75
    ivity
    0.75
    lich
    0.75
    Features
    0.74
     Feature
    0.73
    Activations Density 0.025%

    No Known Activations