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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. 8-RES-JB
    11. 23745
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    INDEX
    Explanations

    phrases related to focus or intense attention

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "staring" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.68
    cial
    -0.65
    icum
    -0.65
    notes
    -0.64
    ERN
    -0.63
    ctr
    -0.63
    inventoryQuantity
    -0.63
    cephal
    -0.62
     Paste
    -0.60
     Foods
    -0.59
    POSITIVE LOGITS
     dag
    1.02
     gaze
    0.94
     blank
    0.92
     stare
    0.87
     unfocused
    0.86
    creen
    0.85
     stares
    0.84
     glare
    0.80
     attent
    0.78
    Eye
    0.76
    Activations Density 0.033%

    No Known Activations