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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
    11. 1724
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    INDEX
    Explanations

    adjectives denoting a small amount or insufficiency

    oai_token-act-pair · gpt-3.5-turbo

    references to inadequate quantities or limited resources

    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
    HOME
    -0.73
    LCS
    -0.67
     recomm
    -0.64
    ################
    -0.64
    ocene
    -0.63
     Trial
    -0.62
     watershed
    -0.62
    Central
    -0.61
    CENT
    -0.61
    anwhile
    -0.61
    POSITIVE LOGITS
     scant
    1.13
    ily
    1.06
    uously
    1.00
    lings
    0.94
    y
    0.88
    uous
    0.87
    iple
    0.82
    ettes
    0.82
    een
    0.80
    itures
    0.77
    Activations Density 0.010%

    No Known Activations