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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. 24037
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    INDEX
    Explanations

    phrases indicating expectation or anticipation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expectations or predictions about future events

    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
    pmwiki
    -0.71
    Interstitial
    -0.68
     Highway
    -0.64
    backer
    -0.62
    aura
    -0.61
    reen
    -0.61
    toggle
    -0.60
    bum
    -0.59
    conservancy
    -0.58
    neck
    -0.58
    POSITIVE LOGITS
    antly
    0.76
    ĩ
    0.73
    olate
    0.72
    orate
    0.71
    ħ
    0.71
    WARD
    0.70
    ı
    0.70
    anamo
    0.69
    ORY
    0.68
    ĭ
    0.67
    Activations Density 0.027%

    No Known Activations