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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. 10-RES-JB
    6. 10265
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    Explanations

    references to a specific pattern or code of characters, specifically 'E9' or 'E10'

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific letter or character pattern related to "E"

    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
    ifier
    -0.88
    runners
    -0.87
    ifiers
    -0.84
    ification
    -0.84
    ifications
    -0.82
    amaz
    -0.79
    lime
    -0.75
    ifying
    -0.75
    ifiable
    -0.74
    essed
    -0.74
    POSITIVE LOGITS
    LECT
    1.35
    OPLE
    1.14
    ASY
    1.13
    AST
    1.03
    fficient
    1.02
    instein
    1.00
    lements
    1.00
    ternity
    0.97
    FAULT
    0.91
    FI
    0.91
    Activations Density 0.041%

    No Known Activations