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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. 10-RES-JB
    11. 6146
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    Explanations

    words related to verifying, validating, or affirming a statement or fact

    oai_token-act-pair · gpt-3.5-turbo

    terms related to verification and confirmation

    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
    ĸļ
    -0.75
    bler
    -0.72
    olit
    -0.70
    leton
    -0.70
    enium
    -0.70
    brance
    -0.70
    hner
    -0.68
    cific
    -0.67
    BuyableInstoreAndOnline
    -0.67
    theme
    -0.67
    POSITIVE LOGITS
     suspicions
    1.04
     authenticity
    1.04
     receipt
    0.97
     validity
    0.90
     sighting
    0.90
     whether
    0.89
    atively
    0.86
     correctness
    0.81
    worthiness
    0.80
     eligibility
    0.79
    Activations Density 0.067%

    No Known Activations