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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. 9-RES-JB
    11. 3322
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    Explanations

    situations that require effort or responsibility

    oai_token-act-pair · gpt-3.5-turbo

    references to challenges and tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Interested
    -0.73
     Correspond
    -0.64
    ento
    -0.63
     Topics
    -0.61
    aples
    -0.60
    vae
    -0.60
    english
    -0.59
    osponsors
    -0.59
    orsi
    -0.59
    ilver
    -0.59
    POSITIVE LOGITS
     itself
    0.95
    iest
    0.89
    forts
    0.86
    ivation
    0.81
     of
    0.80
    antry
    0.78
    ultimate
    0.76
    same
    0.75
    lessness
    0.74
     alone
    0.72
    Activations Density 0.299%

    No Known Activations