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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4670
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    Explanations

    words related to specific types of medical conditions or treatments, such as "speciation" and "fleas"

    oai_token-act-pair · gpt-3.5-turbo

    words related to species and financial contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nuts
    -0.68
     Mour
    -0.68
    sets
    -0.67
     Bagg
    -0.65
    shire
    -0.64
    sen
    -0.64
    æ©Ł
    -0.63
    shock
    -0.62
    sun
    -0.60
    raint
    -0.59
    POSITIVE LOGITS
    ciation
    0.93
     cryst
    0.87
    ciating
    0.85
    ck
    0.83
    vity
    0.79
    clud
    0.75
    selage
    0.74
     encount
    0.73
    ci
    0.72
    izzle
    0.72
    Activations Density 0.008%

    No Known Activations