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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. 13922
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    Explanations

    numeric ranges or measurements

    oai_token-act-pair · gpt-3.5-turbo

    negative numeric ranges or quantities

    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
     Dickinson
    -0.72
     Bates
    -0.70
     wedd
    -0.68
     Moreno
    -0.65
     Constantin
    -0.64
     Hughes
    -0.64
     Sik
    -0.63
     Lucas
    -0.63
     Miss
    -0.63
     opener
    -0.62
    POSITIVE LOGITS
    dimensional
    1.08
    sized
    1.08
    degree
    1.07
    sided
    1.05
    digit
    1.03
    years
    1.02
    tier
    1.02
    minute
    1.01
    million
    1.01
    hour
    1.01
    Activations Density 0.100%

    No Known Activations