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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. 9-RES-JB
    11. 1850
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    INDEX
    Explanations

    emotion descriptors related to eyes

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to eyes and their actions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Davidson
    -0.61
     Underworld
    -0.61
     Goldberg
    -0.61
    _-
    -0.60
    ivari
    -0.60
     PCB
    -0.57
    mson
    -0.57
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.57
     Lith
    -0.57
     Meier
    -0.56
    POSITIVE LOGITS
    ight
    1.30
     sockets
    1.06
    ores
    0.96
    pots
    0.93
    creen
    0.86
    ights
    0.85
    eyed
    0.85
     tint
    0.84
     gaze
    0.83
     pupil
    0.82
    Activations Density 0.025%

    No Known Activations