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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. 2-RES-JB
    6. 1205
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    INDEX
    Explanations

    mentions of the word "note" or its variations

    oai_token-act-pair · gpt-3.5-turbo

    references to notable events or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.85
    Ͻ
    -0.73
    ruary
    -0.71
    Kate
    -0.71
    dimension
    -0.69
    ailability
    -0.61
    hips
    -0.60
     disapp
    -0.60
    antha
    -0.59
     dred
    -0.59
    POSITIVE LOGITS
    OPLE
    1.12
    tsky
    1.02
    lete
    0.99
    ote
    0.98
    otes
    0.95
    chnology
    0.95
    chn
    0.90
    atro
    0.82
    opsis
    0.80
    ito
    0.79
    Activations Density 0.011%

    No Known Activations