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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. 8091
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    Explanations

    formal processes or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "formal"

    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
    =-=-=-=-=-=-=-=-
    -0.89
    =-=-=-=-
    -0.80
     Tycoon
    -0.77
    ï¸
    -0.75
    PLIED
    -0.69
     Indies
    -0.69
    Phones
    -0.68
    Spot
    -0.68
    ————————————————
    -0.66
    ONES
    -0.65
    POSITIVE LOGITS
     formal
    1.16
    bledon
    0.94
     induction
    0.91
    ities
    0.89
     informal
    0.88
    ormal
    0.87
     schooling
    0.84
    ité
    0.82
    tymology
    0.82
    ized
    0.82
    Activations Density 0.011%

    No Known Activations