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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. 10988
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    Explanations

    phrases related to describing actions or processes in a structured or systematic way

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing methods or styles of doing things

    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
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    Negative Logits
    atcher
    -0.69
    apego
    -0.66
    addons
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    raltar
    -0.65
    rament
    -0.63
     LH
    -0.63
    ophy
    -0.62
    avorite
    -0.62
    nder
    -0.62
    duino
    -0.61
    POSITIVE LOGITS
     resembling
    0.71
     imaginable
    0.65
     whatsoever
    0.65
     throughout
    0.64
     ILCS
    0.64
     reminiscent
    0.64
    .
    0.60
     format
    0.57
     surrounded
    0.57
    Ø©
    0.56
    Activations Density 0.269%

    No Known Activations