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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. 3277
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    INDEX
    Explanations

    conjunctions followed by contractions

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "let's" in various contexts

    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
    ELD
    -0.79
    rupted
    -0.70
    eur
    -0.69
     surrounds
    -0.65
     Deaths
    -0.65
    rupt
    -0.60
    ãĥĨ
    -0.60
    velop
    -0.59
    abytes
    -0.59
    IED
    -0.58
    POSITIVE LOGITS
     suppose
    0.97
     gotta
    0.91
     assume
    0.91
     gonna
    0.90
     pretend
    0.86
     speculate
    0.83
     got
    0.82
     settle
    0.81
     get
    0.79
     presume
    0.78
    Activations Density 0.023%

    No Known Activations