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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. 10-RES-JB
    6. 17736
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    INDEX
    Explanations

    contractions common in English such as "don't" or "didn't"

    oai_token-act-pair · gpt-3.5-turbo

    negations related to necessity or obligation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Adin
    -0.67
    forms
    -0.66
     integrity
    -0.63
    Intern
    -0.60
     Integrity
    -0.59
     Strikes
    -0.57
     affinity
    -0.57
    heartedly
    -0.57
     Alas
    -0.57
    Fu
    -0.55
    POSITIVE LOGITS
     need
    1.07
     hear
    0.96
     gotta
    0.92
     wanna
    0.90
     NEED
    0.88
     expect
    0.85
     yourselves
    0.83
     want
    0.83
     yourself
    0.81
     necessarily
    0.81
    Activations Density 0.123%

    No Known Activations