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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. 3-RES-JB
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    Explanations

    adjectives related to negative emotions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "boring" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avia
    -0.75
    OURCE
    -0.72
    States
    -0.71
    ooters
    -0.71
    orthy
    -0.68
    aina
    -0.67
    externalActionCode
    -0.66
    imates
    -0.66
    ports
    -0.66
    cussion
    -0.65
    POSITIVE LOGITS
     boring
    1.00
     crap
    0.88
     resil
    0.84
    ly
    0.77
     stale
    0.77
     bored
    0.76
     filler
    0.76
     lame
    0.74
     shit
    0.74
     quot
    0.74
    Activations Density 0.012%

    No Known Activations