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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. 7706
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    Explanations

    dates and names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    commas that indicate lists or pauses in sentences

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.63
    arov
    -0.59
    rack
    -0.56
    Optional
    -0.56
    alogue
    -0.55
     redes
    -0.55
    inately
    -0.52
    minster
    -0.51
    PF
    -0.51
    venth
    -0.50
    POSITIVE LOGITS
     however
    0.68
     please
    0.61
     we
    0.59
     according
    0.55
     there
    0.52
     scientists
    0.50
     researchers
    0.49
     astronomers
    0.49
     organizers
    0.47
     though
    0.46
    Activations Density 0.373%

    No Known Activations