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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. 10-RES-JB
    11. 22154
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    Explanations

    instances of people being or things being present in a specific place

    oai_token-act-pair · gpt-3.5-turbo

    the presence of commas in phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    entity
    -0.75
    prise
    -0.71
    ndra
    -0.68
    attribute
    -0.66
    ãĤ¦ãĤ¹
    -0.64
    gression
    -0.63
    =[
    -0.62
    inelli
    -0.60
    %-
    -0.60
    eln
    -0.60
    POSITIVE LOGITS
     surrounded
    1.23
     awaiting
    1.13
     waiting
    1.09
     flanked
    1.01
     enjoying
    1.01
     staring
    0.99
     watching
    0.97
     ready
    0.96
     listening
    0.96
     untouched
    0.96
    Activations Density 0.275%

    No Known Activations