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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. 16475
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    Explanations

    words related to emotions and interpersonal relationships

    oai_token-act-pair · gpt-3.5-turbo

    words associated with emotional and social concerns

    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
     Dock
    -0.62
     Newark
    -0.62
     Daytona
    -0.62
     Brick
    -0.62
     Newport
    -0.61
    mington
    -0.60
     Oaks
    -0.59
     Boom
    -0.58
    enium
    -0.57
     Hog
    -0.57
    POSITIVE LOGITS
    âĢ
    1.08
     abound
    0.97
     vary
    0.91
     denote
    0.90
     thereof
    0.90
     alike
    0.88
     ranging
    0.84
     âĢ
    0.84
    âī
    0.83
    ngth
    0.83
    Activations Density 0.415%

    No Known Activations