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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
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    Explanations

    profane language related to negative situations or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shit."

    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
    HCR
    -0.91
    AUT
    -0.74
    ================================
    -0.72
    gary
    -0.72
    Green
    -0.68
    Solar
    -0.68
    Insp
    -0.66
    Minor
    -0.65
    Cele
    -0.64
    Decre
    -0.64
    POSITIVE LOGITS
    shit
    0.95
    bags
    0.91
    loads
    0.89
    dump
    0.88
    shots
    0.86
    posts
    0.84
     heap
    0.83
     shit
    0.83
    lord
    0.83
     sack
    0.80
    Activations Density 0.009%

    No Known Activations