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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. 6-RES-JB
    6. 19106
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    Explanations

    first-person singular verbs in negative form

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or disbelief

    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
     neighb
    -0.61
    lishes
    -0.57
    ilaterally
    -0.55
     agric
    -0.53
    ufact
    -0.51
     municip
    -0.51
    ilst
    -0.50
    iann
    -0.50
    result
    -0.50
    osponsors
    -0.49
    POSITIVE LOGITS
     fuckin
    0.86
     fucking
    0.78
     gonna
    0.75
     funny
    0.68
     goddamn
    0.66
     uh
    0.65
     alright
    0.64
     kinda
    0.64
     fucked
    0.62
     stupid
    0.62
    Activations Density 1.235%

    No Known Activations