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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. 9-RES-JB
    11. 17202
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    Explanations

    people's names or references to personal identities

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "embed" and related suffixes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     warr
    -0.63
     Obi
    -0.62
     dime
    -0.61
     constitu
    -0.59
     Saiyan
    -0.59
     Croat
    -0.59
    irlf
    -0.57
     mt
    -0.57
     od
    -0.56
     Ort
    -0.56
    POSITIVE LOGITS
    lish
    1.05
    vable
    0.93
    lement
    0.81
    bsite
    0.80
    ishment
    0.79
    lington
    0.77
    enment
    0.76
    cht
    0.76
    rative
    0.76
    ished
    0.75
    Activations Density 0.131%

    No Known Activations