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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. 5-RES-JB
    6. 9030
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    INDEX
    Explanations

    phrases related to justification or exoneration

    oai_token-act-pair · gpt-3.5-turbo

    words related to validation and justification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pee
    -0.80
    atomic
    -0.68
    pmwiki
    -0.68
    senal
    -0.67
    abwe
    -0.66
    cules
    -0.64
     livest
    -0.64
    parts
    -0.63
    OPLE
    -0.62
    cule
    -0.62
    POSITIVE LOGITS
    ictive
    1.29
    ication
    1.21
    icated
    1.19
    ict
    1.03
    icates
    1.02
    ications
    1.02
     vind
    0.99
    icator
    0.99
    iary
    0.98
    icating
    0.96
    Activations Density 0.019%

    No Known Activations