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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. 24466
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    INDEX
    Explanations

    proper nouns like names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    alphanumeric sequences and symbols, potentially indicating technical or coding information

    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
     Turing
    -0.59
    ruary
    -0.57
    shire
    -0.55
     Skinner
    -0.50
     ACTIONS
    -0.50
     unse
    -0.48
     forgotten
    -0.48
     ceremon
    -0.47
     confidentiality
    -0.46
    tein
    -0.46
    POSITIVE LOGITS
    ãĥĺãĥ©
    0.72
    agi
    0.67
    soDeliveryDate
    0.66
    drm
    0.65
     Gujar
    0.53
    ãĥŁ
    0.53
    Ï
    0.52
    achu
    0.52
    allery
    0.51
    itars
    0.51
    Activations Density 1.401%

    No Known Activations