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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. 11-RES-JB
    11. 16439
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    INDEX
    Explanations

    profane language and expressions of dislike or hatred

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration or anger towards situations or people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enlarge
    -0.74
    toggle
    -0.68
    âĢij
    -0.68
    Footnote
    -0.64
    Newsletter
    -0.61
     âĢİ
    -0.60
    furt
    -0.58
    Ó
    -0.57
    ãĤ©
    -0.57
    ½
    -0.56
    POSITIVE LOGITS
     REALLY
    1.15
     EVEN
    1.01
     FUCK
    1.01
     NEED
    0.99
     NEVER
    0.97
     gotta
    0.94
     KNOW
    0.94
     JUST
    0.92
     REAL
    0.92
     fucking
    0.91
    Activations Density 0.885%

    No Known Activations