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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18253
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and titles associated with individuals

    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
    depending
    -0.64
     behavi
    -0.60
     executions
    -0.58
     embodiments
    -0.57
     resolutions
    -0.55
     consequently
    -0.55
     fundamentally
    -0.55
     contradictions
    -0.53
     metrics
    -0.52
     energies
    -0.52
    POSITIVE LOGITS
     and
    1.08
     &
    0.90
    ortium
    0.84
     AND
    0.80
     Jr
    0.79
     et
    0.78
     nor
    0.69
     (£
    0.67
    *,
    0.63
    bie
    0.63
    Activations Density 0.300%

    No Known Activations