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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. 1-RES-JB
    11. 20314
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    Explanations

    phrases related to disciplinary actions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disciplinary actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    TPP
    -0.70
    coat
    -0.68
    bows
    -0.68
    odus
    -0.67
    Phones
    -0.67
    ILE
    -0.66
    hing
    -0.66
    igslist
    -0.66
    frey
    -0.65
    eor
    -0.65
    POSITIVE LOGITS
     disciplinary
    1.35
    ciplinary
    0.98
     enqu
    0.95
     proceedings
    0.91
     inquiry
    0.88
     inquiries
    0.85
     discipline
    0.83
     suspensions
    0.80
    wcsstore
    0.78
     dispos
    0.76
    Activations Density 0.005%

    No Known Activations