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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. 3442
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    Explanations

    mentions of the word "Yo"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named "Yo" and variations of that name

    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
    eele
    -0.80
    peat
    -0.77
    weight
    -0.73
    lear
    -0.72
    ortion
    -0.70
    ulence
    -0.70
    enment
    -0.69
    entimes
    -0.69
    acular
    -0.68
    ulent
    -0.68
    POSITIVE LOGITS
    akov
    0.79
    nan
    0.76
    agi
    0.75
    nas
    0.73
    ahoo
    0.73
    Yo
    0.73
     Huh
    0.72
    Yan
    0.71
     Maker
    0.70
    orkshire
    0.68
    Activations Density 0.032%

    No Known Activations