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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. 6-RES-JB
    11. 2585
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    Explanations

    mentions of measurement scales

    oai_token-act-pair · gpt-3.5-turbo

    references to measurement scales or ratings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esson
    -0.87
    odge
    -0.80
    vous
    -0.75
    selves
    -0.72
    vironment
    -0.72
    ĪĴ
    -0.71
    unal
    -0.71
    uala
    -0.69
    utm
    -0.68
    aan
    -0.68
    POSITIVE LOGITS
     scale
    0.95
     scales
    0.82
     cooker
    0.75
     heights
    0.72
    enance
    0.71
    Factor
    0.70
     Scale
    0.70
     proportions
    0.69
     coffin
    0.69
     multiplier
    0.67
    Activations Density 0.016%

    No Known Activations