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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. 10-RES-JB
    11. 7114
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    INDEX
    Explanations

    references to cinematography

    oai_token-act-pair · gpt-3.5-turbo

    references to cinema and filmmaking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     whichever
    -0.66
     tops
    -0.65
     Belt
    -0.64
     endif
    -0.63
     Upton
    -0.62
     caution
    -0.61
     Butt
    -0.60
     Kappa
    -0.59
     inclusive
    -0.59
     aloud
    -0.58
    POSITIVE LOGITS
    atically
    1.72
    atics
    1.72
    atic
    1.71
    atography
    1.66
    atical
    1.43
    atis
    1.30
    acies
    1.28
    atin
    1.27
    ases
    1.25
    at
    1.25
    Activations Density 0.052%

    No Known Activations