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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 14309
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    Explanations

    words related to highly anticipated or acclaimed events or releases

    oai_token-act-pair · gpt-3.5-turbo

    the concept of anticipation or expectation related to events or releases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -0.86
    ouf
    -0.78
    otto
    -0.78
    opathy
    -0.72
    elo
    -0.72
    alian
    -0.71
    vae
    -0.69
    jiang
    -0.66
    onics
    -0.66
    athy
    -0.66
    POSITIVE LOGITS
    awaited
    1.15
    DragonMagazine
    0.88
     culmination
    0.88
    lehem
    0.80
    ilee
    0.80
     awaited
    0.79
    theless
    0.77
    ãĤ´ãĥ³
    0.77
     revelations
    0.76
    nesday
    0.76
    Activations Density 0.007%

    No Known Activations