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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. 22599
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    Explanations

    phrases related to communication and dialogue

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol in the text

    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
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    No Comments

    Negative Logits
     mathemat
    -0.81
     carbohyd
    -0.80
     misunder
    -0.74
    geries
    -0.73
     folds
    -0.69
     decomp
    -0.67
    onential
    -0.67
    ĵĺ
    -0.66
    changes
    -0.65
     advantages
    -0.65
    POSITIVE LOGITS
    ï¸ı
    1.23
    ï¸
    0.89
    âĶĢâĶĢâĶĢâĶĢ
    0.87
    ----------------------------------------------------------------
    0.80
    ~~~~
    0.78
    Wr
    0.74
    TPS
    0.73
    âĹ¼
    0.72
    İ
    0.70
    £
    0.70
    Activations Density 0.210%

    No Known Activations