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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. 9237
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    Explanations

    words related to toxic materials or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to carcinogenic substances and medical conditions

    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
    mble
    -0.75
    pter
    -0.75
    nir
    -0.74
     purse
    -0.70
    ļéĨĴ
    -0.68
    culosis
    -0.68
     belt
    -0.67
    belt
    -0.67
     Cutter
    -0.67
    esa
    -0.67
    POSITIVE LOGITS
    urate
    0.91
    otin
    0.83
    assing
    0.83
    abet
    0.81
    hetically
    0.79
    roleum
    0.79
    rael
    0.77
    oreal
    0.76
    merce
    0.76
    omorph
    0.76
    Activations Density 0.031%

    No Known Activations