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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. 16306
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    INDEX
    Explanations

    prepositions followed by action verbs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating advantages or benefits conferred to subjects or objects

    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
    soDeliveryDate
    -0.89
     proble
    -0.85
    isms
    -0.73
    UME
    -0.72
    fal
    -0.71
    agues
    -0.71
    ÅĤ
    -0.70
    problem
    -0.70
    lys
    -0.68
    izes
    -0.67
    POSITIVE LOGITS
     having
    1.44
     knowing
    1.43
     owning
    1.27
     avoiding
    1.18
     hindsight
    1.17
     keeping
    1.16
     being
    1.15
     seeing
    1.14
     adopting
    1.12
     maintaining
    1.11
    Activations Density 0.174%

    No Known Activations