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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. 19632
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    INDEX
    Explanations

    survey-based percentages and opinions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to survey data and statistics

    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
    RY
    -0.67
     marrow
    -0.66
     Stew
    -0.66
     Sabb
    -0.65
    ipedia
    -0.61
     cabal
    -0.61
    inventoryQuantity
    -0.60
    bound
    -0.60
    Contents
    -0.59
     Sisters
    -0.59
    POSITIVE LOGITS
     polled
    1.19
     surveyed
    1.18
    agree
    1.12
     respondents
    1.00
     answered
    0.90
     interviewed
    0.89
    ecided
    0.89
     undecided
    0.86
     respondent
    0.85
    question
    0.82
    Activations Density 0.149%

    No Known Activations