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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. 564
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    Explanations

    expressions where a preference or comparison is stated

    oai_token-act-pair · gpt-3.5-turbo

    expressions of preference

    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
     Coll
    -0.64
    coming
    -0.61
     Shake
    -0.60
    hur
    -0.59
     Revival
    -0.58
    bound
    -0.57
     Broken
    -0.56
    cr
    -0.55
     Scene
    -0.55
     Fif
    -0.54
    POSITIVE LOGITS
     prefer
    3.29
     prefers
    2.56
     preferring
    2.19
     preferred
    1.91
     preference
    1.61
     preferable
    1.40
     dislike
    1.35
     specialize
    1.31
     choose
    1.29
     crave
    1.28
    Activations Density 0.012%

    No Known Activations