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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. 11890
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    Explanations

    phrases related to direct actions or involvements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to direct actions or transactions

    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
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    Negative Logits
    Hide
    -0.82
    anners
    -0.70
    nesota
    -0.68
     Chocobo
    -0.67
    mbuds
    -0.67
    ldom
    -0.66
    etting
    -0.65
     cautiously
    -0.65
    astical
    -0.64
    Afee
    -0.64
    POSITIVE LOGITS
    orship
    1.15
    oire
    1.06
     descendant
    1.01
    eur
    0.95
    orate
    0.94
     descendants
    0.91
     sunlight
    0.89
    ions
    0.86
    ories
    0.84
     debit
    0.84
    Activations Density 0.033%

    No Known Activations