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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. 4-RES-JB
    11. 19965
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    Explanations

    phrases related to light and illumination

    oai_token-act-pair · gpt-3.5-turbo

    terms related to illumination and brightness

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

    No Comments

    Negative Logits
    remlin
    -0.89
    ties
    -0.84
    nell
    -0.75
    cha
    -0.74
    iago
    -0.74
    vere
    -0.74
    hers
    -0.74
    raltar
    -0.73
    buster
    -0.72
    yll
    -0.71
    POSITIVE LOGITS
     illuminating
    1.04
     illuminated
    1.01
     illuminate
    0.99
     bulbs
    0.97
     orbs
    0.96
     lamps
    0.96
    orescence
    0.95
     shone
    0.94
     illum
    0.93
     brighter
    0.86
    Activations Density 0.029%

    No Known Activations