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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. 19229
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    Explanations

    phrases related to projects or plans being developed or implemented

    oai_token-act-pair · gpt-3.5-turbo

    punctuations, particularly commas

    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
    fter
    -0.68
    ulz
    -0.66
    vre
    -0.64
    grain
    -0.63
    gow
    -0.63
    cott
    -0.61
    ļéĨĴ
    -0.61
    iny
    -0.60
    elf
    -0.60
    eering
    -0.60
    POSITIVE LOGITS
     albeit
    1.19
     namely
    0.98
     however
    0.79
     but
    0.78
    but
    0.75
    albeit
    0.74
     although
    0.74
     though
    0.73
     alas
    0.73
     etc
    0.72
    Activations Density 0.386%

    No Known Activations