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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. 8-RES-JB
    11. 24129
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.77
     tremend
    -0.67
     gobl
    -0.65
     contingency
    -0.63
    senal
    -0.59
     oun
    -0.59
     pione
    -0.59
     fict
    -0.57
    riott
    -0.57
    bably
    -0.57
    POSITIVE LOGITS
    ↵
    1.47
    <|endoftext|>
    1.24
    ↵↵
    0.94
     However
    0.87
     ®
    0.86
     Also
    0.84
     Additionally
    0.84
     Hence
    0.83
     Furthermore
    0.78
     Moreover
    0.78
    Activations Density 0.710%

    No Known Activations