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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. 3-RES-JB
    11. 13032
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    Explanations

    verbs related to interaction or engagement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "interact" and its variants, emphasizing engagement or interaction concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ft
    -0.75
    nown
    -0.69
    aft
    -0.68
    corn
    -0.66
    statement
    -0.66
    FORE
    -0.64
    ften
    -0.64
    collection
    -0.62
    ff
    -0.62
    GE
    -0.62
    POSITIVE LOGITS
    ivity
    1.19
    uate
    1.03
    ively
    1.00
     interact
    0.90
    uates
    0.88
     interactions
    0.88
    ivities
    0.83
    acebook
    0.83
     interacts
    0.82
    ativity
    0.82
    Activations Density 0.019%

    No Known Activations