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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. 6150
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    INDEX
    Explanations

    words related to being susceptible or predisposed to something

    oai_token-act-pair · gpt-3.5-turbo

    words indicating susceptibility or vulnerability to negative outcomes or conditions

    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
    tein
    -0.85
    row
    -0.69
    flies
    -0.64
     towels
    -0.63
    assies
    -0.59
     flashlight
    -0.58
    zos
    -0.58
     Plat
    -0.58
     torches
    -0.58
     axes
    -0.58
    POSITIVE LOGITS
    itability
    0.81
    Versions
    0.76
     embr
    0.76
    theless
    0.76
    entious
    0.75
    ritis
    0.72
     plagiar
    0.72
    icide
    0.72
    itable
    0.72
    wcs
    0.71
    Activations Density 0.055%

    No Known Activations