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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. 6406
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    Explanations

    references to movie titles

    oai_token-act-pair · gpt-3.5-turbo

    references to popular movies and characters

    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
     podium
    -0.75
    uble
    -0.72
     disadvantage
    -0.71
     notation
    -0.70
     trough
    -0.69
    ibly
    -0.66
     enh
    -0.66
    clus
    -0.66
     synt
    -0.65
    yz
    -0.64
    POSITIVE LOGITS
     Wedding
    0.88
     Detective
    0.87
     Places
    0.86
     Crimes
    0.86
    renheit
    0.86
     Trouble
    0.86
     Moonlight
    0.85
     Falling
    0.83
     Girl
    0.83
     Clockwork
    0.83
    Activations Density 0.218%

    No Known Activations