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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
    11. 8971
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    Explanations

    words related to avoiding or escaping something

    oai_token-act-pair · gpt-3.5-turbo

    words related to exclusion or being left out

    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
    angler
    -0.86
    scope
    -0.64
    ascript
    -0.64
    £ı
    -0.62
     seeded
    -0.60
    inders
    -0.60
    uto
    -0.60
     hemor
    -0.60
    undo
    -0.59
     handy
    -0.59
    POSITIVE LOGITS
    ingly
    0.84
    hovah
    0.81
    istic
    0.80
    uous
    0.75
    bear
    0.75
    eness
    0.73
    terness
    0.73
     virginity
    0.73
    quit
    0.71
    iveness
    0.69
    Activations Density 0.127%

    No Known Activations