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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. 4-RES-JB
    11. 20301
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    Explanations

    mentions of films

    oai_token-act-pair · gpt-3.5-turbo

    references to films and cinema

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

    No Comments

    Negative Logits
     bluff
    -0.68
    arity
    -0.63
     ridge
    -0.61
     condition
    -0.60
     legislature
    -0.60
     wheelchair
    -0.58
    onite
    -0.58
    stone
    -0.58
    fac
    -0.57
    LESS
    -0.57
    POSITIVE LOGITS
     films
    0.88
    ovies
    0.88
    ynthesis
    0.86
     movies
    0.85
    ystem
    0.83
    uggest
    0.80
    earch
    0.80
    linger
    0.80
     starring
    0.80
     Films
    0.78
    Activations Density 0.039%

    No Known Activations