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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. 10-RES-JB
    11. 8102
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    INDEX
    Explanations

    phrases related to specific professions or activities

    oai_token-act-pair · gpt-3.5-turbo

    key figures, organizations, and roles in various contexts

    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
     MFT
    -0.74
    geoning
    -0.67
    hement
    -0.67
    opol
    -0.66
    =-=-
    -0.65
    rontal
    -0.63
    luster
    -0.62
    quartered
    -0.62
    herry
    -0.58
    abad
    -0.58
    POSITIVE LOGITS
     entail
    0.99
     fuss
    0.97
     entails
    0.96
     meant
    0.90
     accomplished
    0.90
     mean
    0.88
     Doing
    0.87
     doing
    0.86
     wrought
    0.84
     Means
    0.82
    Activations Density 0.265%

    No Known Activations