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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. 1042
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    Explanations

    mentions of the word "cow" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cow" and its variations

    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
     Extend
    -0.79
     Imran
    -0.65
    ————————
    -0.63
     Samoa
    -0.62
    mith
    -0.62
     simultane
    -0.61
    arial
    -0.61
     Tend
    -0.61
    eways
    -0.60
    hift
    -0.60
    POSITIVE LOGITS
    ards
    1.52
    boys
    1.50
    ritten
    1.48
    riter
    1.48
    bell
    1.30
    ork
    1.20
    girl
    1.17
    ard
    1.16
    ARDS
    1.16
    arded
    1.14
    Activations Density 0.034%

    No Known Activations