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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21347
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    Explanations

    words related to linguistic and computational terms, specifically words ending in '-ing', '-ed', '-ly', '-er', or '-s'

    oai_token-act-pair · gpt-3.5-turbo

    words related to linguistic forms and 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
     KP
    -0.70
    schild
    -0.69
    iewicz
    -0.67
     Hayden
    -0.65
     Sutherland
    -0.63
     Immunity
    -0.63
     Helsinki
    -0.62
     Luk
    -0.61
     TAM
    -0.60
     Elves
    -0.60
    POSITIVE LOGITS
    mble
    1.00
    cean
    0.92
    moil
    0.87
    uin
    0.85
    gment
    0.82
    renheit
    0.81
    rill
    0.80
    mph
    0.80
    odox
    0.79
    ased
    0.78
    Activations Density 0.168%

    No Known Activations