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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. 11-RES-JB
    11. 7565
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    Explanations

    phrases that highlight importance or priority

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing significance or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    "},"
    -0.58
    Jump
    -0.58
    ebin
    -0.57
    uum
    -0.54
    itely
    -0.53
    URE
    -0.53
    Sort
    -0.53
    chairs
    -0.52
    Pretty
    -0.52
    URES
    -0.52
    POSITIVE LOGITS
    ,
    0.94
    ,.
    0.87
    ,...
    0.83
     though
    0.80
     importantly
    0.77
    ,,
    0.76
    :
    0.73
     however
    0.69
    zers
    0.67
    ,—
    0.66
    Activations Density 0.076%

    No Known Activations