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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. 1108
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    INDEX
    Explanations

    information related to individuals passing away

    oai_token-act-pair · gpt-3.5-turbo

    mentions of death and related circumstances

    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
    soDeliveryDate
    -0.88
    NESS
    -0.68
     newsletters
    -0.67
    =\"
    -0.66
     favoured
    -0.66
    RGB
    -0.65
     drill
    -0.65
     discriminate
    -0.64
    eele
    -0.63
    ional
    -0.60
    POSITIVE LOGITS
    ukemia
    1.03
     leukemia
    0.91
     coroner
    0.87
     :(
    0.85
     premature
    0.84
     mourning
    0.82
    mortem
    0.82
     prematurely
    0.82
     Canaver
    0.81
     Died
    0.80
    Activations Density 0.286%

    No Known Activations