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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. 2-RES-JB
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    Explanations

    the word 'labeled'

    oai_token-act-pair · gpt-4-turbo

    instances of items being marked or described with specific labels or designations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "labeled" or its variations, indicating classification or designation of items or concepts

    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
    itars
    -0.75
    --+
    -0.68
    cession
    -0.65
    psons
    -0.63
    adra
    -0.62
    ----------------
    -0.60
    =-=-
    -0.60
     Deliver
    -0.60
    rentice
    -0.60
    edom
    -0.60
    POSITIVE LOGITS
     labelled
    1.00
     labeled
    0.93
     labeling
    0.84
     labels
    0.83
     branded
    0.73
     naming
    0.73
    ued
    0.72
    paces
    0.72
    TextColor
    0.70
    ocument
    0.69
    Activations Density 0.008%

    No Known Activations