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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. 0-RES-JB
    11. 1536
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    Explanations

    words related to ideas or actions that are perceived as mistaken or wrong

    oai_token-act-pair · gpt-3.5-turbo

    terms related to misconceptions or falsehoods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brates
    -0.79
     Grav
    -0.68
     scripting
    -0.66
     simulate
    -0.65
    iller
    -0.65
     Horton
    -0.64
    wik
    -0.64
    pler
    -0.64
    ables
    -0.64
     sponge
    -0.63
    POSITIVE LOGITS
     misplaced
    3.39
     misguided
    2.04
     unfounded
    1.95
     mistaken
    1.60
     baseless
    1.47
     warranted
    1.44
     erroneous
    1.34
     miscon
    1.33
     unjust
    1.18
    sighted
    1.16
    Activations Density 0.059%

    No Known Activations