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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. 11955
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    INDEX
    Explanations

    numerical and alphanumeric sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical patterns or identifiers, such as values resembling codes or URLs

    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
    perature
    -0.76
    âĸ¬
    -0.70
    igue
    -0.70
    seless
    -0.67
    agna
    -0.66
     CLSID
    -0.63
    FontSize
    -0.62
     administ
    -0.59
     Leban
    -0.59
    iple
    -0.58
    POSITIVE LOGITS
    ffe
    0.84
    e
    0.81
    wm
    0.77
    201
    0.74
    rez
    0.74
    eff
    0.74
    df
    0.74
    eem
    0.71
    dd
    0.71
    249
    0.70
    Activations Density 0.057%

    No Known Activations