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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the word "recount" in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "recount."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Required
    -0.64
     AA
    -0.64
    ital
    -0.63
    tic
    -0.62
     lig
    -0.62
    grades
    -0.60
     Android
    -0.60
    AAA
    -0.60
     Launcher
    -0.59
    cept
    -0.59
    POSITIVE LOGITS
     recount
    4.09
     recounts
    2.84
     recounted
    1.98
     recalling
    1.51
     narr
    1.47
     recall
    1.46
     reminis
    1.25
     Recall
    1.23
     recite
    1.23
     recalls
    1.19
    Activations Density 0.024%

    No Known Activations