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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. 1-RES-JB
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    INDEX
    Explanations

    phrases indicating anticipation or future events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "await" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    audi
    -0.85
    agnetic
    -0.81
    arse
    -0.79
    raction
    -0.79
    amm
    -0.79
    rug
    -0.77
    med
    -0.77
    izophren
    -0.73
    harm
    -0.71
    acus
    -0.71
    POSITIVE LOGITS
     awaits
    1.44
     awaiting
    1.39
     await
    1.36
     awaited
    1.24
     patiently
    0.98
     waits
    0.93
     waiting
    0.86
     pending
    0.79
     anticipation
    0.78
     eagerly
    0.75
    Activations Density 0.009%

    No Known Activations