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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
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    Explanations

    instances of the word "users"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of users in various contexts within the document

    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
     Hurricanes
    -0.69
     Shore
    -0.68
    FLAG
    -0.68
    western
    -0.67
     Shack
    -0.65
     Baptist
    -0.64
     Scand
    -0.63
     Rib
    -0.62
     Hat
    -0.62
     Caldwell
    -0.62
    POSITIVE LOGITS
    pace
    1.07
    hip
    0.99
    paces
    0.95
    cript
    0.90
     users
    0.87
    mens
    0.83
    wana
    0.83
    ettings
    0.80
     interfaces
    0.80
    hao
    0.79
    Activations Density 0.019%

    No Known Activations