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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. 17003
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    Explanations

    mentions of specific dates or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of statistical studies and research-related terminology

    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
    inventoryQuantity
    -0.83
     lately
    -0.73
    soDeliveryDate
    -0.73
    RIP
    -0.72
    rament
    -0.71
    kefeller
    -0.68
     rebuild
    -0.67
     rebuilding
    -0.67
    rastructure
    -0.66
     rotting
    -0.65
    POSITIVE LOGITS
     respondents
    1.51
    RESULTS
    1.44
     Participants
    1.41
     participants
    1.33
    Particip
    1.32
    Results
    1.28
     Subjects
    1.20
     questionnaire
    1.15
     respondent
    1.13
     Results
    1.12
    Activations Density 0.525%

    No Known Activations