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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. 12-RES-JB
    11. 3021
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    Explanations

    words related to negative emotions or actions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words that express disgust or disapproval

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     narrowing
    -0.61
     hypers
    -0.60
     hips
    -0.58
     lapse
    -0.57
     filmmaking
    -0.56
     life
    -0.54
     Lowe
    -0.54
    ModLoader
    -0.54
     hypot
    -0.54
     knee
    -0.54
    POSITIVE LOGITS
    untled
    1.14
    owship
    1.12
    ointment
    1.11
    ointed
    1.06
    unction
    1.01
    oint
    0.95
    edience
    0.94
    reement
    0.92
    ection
    0.90
    agement
    0.87
    Activations Density 0.062%

    No Known Activations