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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. 7-RES-JB
    11. 15502
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    INDEX
    Explanations

    phrases related to giving explanations or reasoning

    oai_token-act-pair · gpt-3.5-turbo

    references to significant facts or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MAR
    -0.71
    hent
    -0.70
    rones
    -0.68
    IRT
    -0.67
    Medium
    -0.66
    jer
    -0.66
    lynn
    -0.65
    Anne
    -0.65
    Ger
    -0.65
    Favorite
    -0.64
    POSITIVE LOGITS
     circumstances
    1.26
     circumstance
    1.02
     context
    1.00
     constraints
    0.88
     seriousness
    0.87
     proximity
    0.86
     uncertainties
    0.84
     situation
    0.83
     precedent
    0.82
     propensity
    0.78
    Activations Density 0.105%

    No Known Activations