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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. 7-RES-JB
    11. 13902
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    Explanations

    text related to posters and promotional materials

    oai_token-act-pair · gpt-3.5-turbo

    references to a "poster."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    %]
    -0.79
    estial
    -0.76
    ESSION
    -0.71
    owship
    -0.70
     Ago
    -0.68
    IVE
    -0.66
    REE
    -0.66
    hews
    -0.64
    IELD
    -0.62
     ACTION
    -0.62
    POSITIVE LOGITS
     poster
    0.95
    iors
    0.91
    onymous
    0.88
     posters
    0.86
    ieu
    0.78
    clip
    0.77
    ior
    0.76
    pillar
    0.74
    ity
    0.74
    board
    0.74
    Activations Density 0.016%

    No Known Activations