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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. 8-RES-JB
    11. 10167
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    Explanations

    phrases related to explanations or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    discussions about clarity and explanation in procedures or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hesda
    -0.78
    illard
    -0.74
    portation
    -0.69
    cair
    -0.66
     Employees
    -0.65
    ................................................................
    -0.64
    nder
    -0.64
    emouth
    -0.64
    iton
    -0.63
     Goods
    -0.63
    POSITIVE LOGITS
     texts
    0.96
    aptic
    0.85
     abstract
    0.83
     textbooks
    0.83
     lectures
    0.82
     hindsight
    0.80
     subconscious
    0.80
     verbally
    0.80
     tangible
    0.79
     cues
    0.79
    Activations Density 0.666%

    No Known Activations