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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. 5-RES-JB
    6. 11258
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    INDEX
    Explanations

    comparative and superlative adjectives related to goodness or benefit

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating positivity or improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pter
    -0.81
    onut
    -0.71
    dot
    -0.69
    */(
    -0.68
    dit
    -0.68
    yss
    -0.67
    ancies
    -0.66
    abies
    -0.65
    mares
    -0.65
    ADRA
    -0.65
    POSITIVE LOGITS
    enough
    0.96
     enough
    0.93
     suited
    0.91
     Enough
    0.82
    aligned
    0.74
     correlated
    0.73
     ambassadors
    0.70
     safest
    0.70
    wired
    0.70
     aligned
    0.67
    Activations Density 0.127%

    No Known Activations