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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. 3-RES-JB
    11. 3211
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    Explanations

    mentions of announcements or declarations

    oai_token-act-pair · gpt-3.5-turbo

    words related to announcements or declarations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acea
    -0.88
     compuls
    -0.77
    oscopic
    -0.74
    otherapy
    -0.72
    icum
    -0.67
    esthetic
    -0.66
    ocr
    -0.65
    uther
    -0.65
     constit
    -0.64
    obyl
    -0.63
    POSITIVE LOGITS
    ounce
    0.98
    ounces
    0.89
    prises
    0.88
    prise
    0.85
     Seym
    0.80
    ment
    0.79
    ments
    0.77
    pell
    0.75
    Beast
    0.75
    Spread
    0.74
    Activations Density 0.013%

    No Known Activations