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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. 3-RES-JB
    11. 6968
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    Explanations

    sentences expressing certainty

    oai_token-act-pair · gpt-3.5-turbo

    expressions of certainty or affirmation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.77
    ulative
    -0.74
    bucks
    -0.70
    gencies
    -0.69
    lay
    -0.68
     respectively
    -0.66
    lif
    -0.65
    lins
    -0.65
    agus
    -0.64
    ual
    -0.63
    POSITIVE LOGITS
     torped
    0.77
     distinguish
    0.71
     identifiable
    0.70
     deline
    0.69
     benefited
    0.69
     qualifies
    0.69
     deserved
    0.68
     outnumbered
    0.65
     behaved
    0.64
     appreci
    0.64
    Activations Density 0.019%

    No Known Activations