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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. 2-RES-JB
    11. 18425
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    Explanations

    contexts where the phrase "a lot" is used

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "a lot."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ando
    -0.82
    heid
    -0.79
    perty
    -0.76
    rift
    -0.75
    endants
    -0.74
    tein
    -0.72
    gary
    -0.71
    incinnati
    -0.71
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.68
    perature
    -0.68
    POSITIVE LOGITS
     amount
    0.73
     amounts
    0.71
    tery
    0.71
     Maul
    0.65
    vre
    0.64
    ãĥ³
    0.62
     alot
    0.62
     different
    0.60
     chunk
    0.60
     Irwin
    0.59
    Activations Density 0.047%

    No Known Activations