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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. 22020
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    Explanations

    keywords related to a broad scope or variety

    oai_token-act-pair · gpt-3.5-turbo

    references to varying degrees or extents

    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
    Fe
    -0.66
     hoc
    -0.65
    der
    -0.62
    rics
    -0.61
    WN
    -0.60
    oliath
    -0.60
    mit
    -0.60
    roma
    -0.59
     Ing
    -0.59
    LV
    -0.59
    POSITIVE LOGITS
    finder
    1.25
     Rover
    1.06
    range
    1.00
     ranges
    0.95
     range
    0.86
    ranging
    0.81
    ahead
    0.81
    yip
    0.72
    estyles
    0.71
    eways
    0.70
    Activations Density 0.029%

    No Known Activations