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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. 17948
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    INDEX
    Explanations

    adjectives or past participles indicating likelihood or capacity

    oai_token-act-pair · gpt-3.5-turbo

    words indicating feasibility or likelihood

    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
    ortment
    -0.82
    cipl
    -0.71
    viron
    -0.69
    mosp
    -0.69
    guyen
    -0.63
    ells
    -0.63
    arlane
    -0.61
    lab
    -0.60
    sheets
    -0.60
    uclear
    -0.59
    POSITIVE LOGITS
     unless
    0.79
     srfAttach
    0.77
     anyway
    0.76
    .ãĢį
    0.74
     anymore
    0.74
     without
    0.73
     regardless
    0.72
     irrespective
    0.72
    .–
    0.70
     Jagu
    0.70
    Activations Density 0.200%

    No Known Activations