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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. 21893
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    INDEX
    Explanations

    phrases related to anticipation or expectation

    oai_token-act-pair · gpt-3.5-turbo

    words related to anticipation or events yet to occur

    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
    caps
    -0.68
    vil
    -0.66
    arse
    -0.65
    ouf
    -0.65
    midt
    -0.65
    audi
    -0.64
    xa
    -0.64
    iane
    -0.63
    Cola
    -0.63
    blue
    -0.63
    POSITIVE LOGITS
     awaiting
    1.05
     await
    1.05
     patiently
    1.05
     awaits
    0.97
     awaited
    0.93
     eagerly
    0.85
     arrival
    0.78
    ilee
    0.78
    ITNESS
    0.76
    atcher
    0.75
    Activations Density 0.012%

    No Known Activations