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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. 6-RES-JB
    11. 1001
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    Explanations

    sentences related to changes in industries or technology

    oai_token-act-pair · gpt-3.5-turbo

    instances of empty sequences or gaps in data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Niet
    -0.63
     Jagu
    -0.60
     Vaugh
    -0.59
     Classics
    -0.58
     antid
    -0.56
    elines
    -0.56
     Moroc
    -0.54
    ichever
    -0.52
     referen
    -0.52
     Ezek
    -0.51
    POSITIVE LOGITS
    ↵Âł
    0.73
    ↵↵
    0.63
    ocaust
    0.62
    \":
    0.61
     ·
    0.58
    îĢ
    0.56
     alot
    0.56
    ui
    0.55
     ]
    0.55
    )?
    0.55
    Activations Density 1.850%

    No Known Activations