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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

    verbs ending in "-itting"

    oai_token-act-pair · gpt-3.5-turbo

    the word "sitting" and its variations in various contexts

    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
     sensed
    -0.72
     overc
    -0.68
     metaph
    -0.62
     rel
    -0.61
    log
    -0.61
     perce
    -0.59
     rece
    -0.58
     dispel
    -0.58
     cour
    -0.58
     subdu
    -0.57
    POSITIVE LOGITS
    oggle
    0.89
    chens
    0.84
    ters
    0.80
    chen
    0.79
    ilde
    0.78
    iton
    0.77
    lass
    0.75
    unes
    0.75
    mie
    0.75
    lift
    0.74
    Activations Density 0.009%

    No Known Activations