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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. 6601
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    INDEX
    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or brand

    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
    lus
    -0.63
     Phelps
    -0.63
    track
    -0.62
    gdala
    -0.62
    nia
    -0.61
     terminals
    -0.60
    creen
    -0.59
    states
    -0.58
    rations
    -0.58
    swing
    -0.58
    POSITIVE LOGITS
    ising
    1.31
    isin
    1.30
    quel
    1.25
    fters
    1.23
    fter
    1.21
    ises
    1.21
    ised
    1.16
    vel
    1.14
    qqa
    1.13
    iffe
    1.11
    Activations Density 0.028%

    No Known Activations