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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. 9591
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    INDEX
    Explanations

    reasons or explanations for certain situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    the word "because" in various contexts

    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
    thal
    -0.74
    yan
    -0.73
    robe
    -0.71
    alin
    -0.65
    ice
    -0.61
    iPhone
    -0.61
     sideline
    -0.59
    ilet
    -0.59
    âĤ¬
    -0.59
    shr
    -0.59
    POSITIVE LOGITS
    */(
    0.89
    assetsadobe
    0.73
    liga
    0.72
    ghai
    0.71
     someone
    0.70
    ecause
    0.69
     they
    0.68
    udo
    0.67
    xual
    0.67
    govtrack
    0.66
    Activations Density 0.060%

    No Known Activations