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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 16025
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    Explanations

    strong language or expletives

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration or emphasis, particularly those containing the words "damn" and "darn."

    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
    Profile
    -0.65
    ors
    -0.64
    ary
    -0.61
     arrivals
    -0.61
    ipl
    -0.61
    edia
    -0.60
     Arts
    -0.60
     Types
    -0.58
     Include
    -0.57
    es
    -0.57
    POSITIVE LOGITS
     damn
    3.99
     darn
    3.37
     damned
    3.22
     goddamn
    3.02
     godd
    2.27
     Damn
    2.26
     fucking
    2.05
    Damn
    1.86
     freaking
    1.80
     fuckin
    1.71
    Activations Density 0.019%

    No Known Activations