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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. 15881
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    Explanations

    terms related to numerical figures and values

    oai_token-act-pair · gpt-3.5-turbo

    references to preconditions or prerequisites

    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
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    Negative Logits
     Schmidt
    -0.70
     Sweeney
    -0.68
     Moe
    -0.65
     Larson
    -0.64
     Cohn
    -0.63
     Spider
    -0.63
     Norris
    -0.63
     Madd
    -0.63
    ulhu
    -0.63
     Cache
    -0.62
    POSITIVE LOGITS
    sent
    1.19
    trial
    1.16
    release
    1.11
    existing
    1.11
    season
    1.10
    requisites
    1.07
    jud
    1.07
    requisite
    1.02
    historic
    1.02
    processing
    1.00
    Activations Density 0.027%

    No Known Activations