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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. 14159
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    INDEX
    Explanations

    phrases related to noteworthy occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "see" and its variants, indicating occurrences or observations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Newsletter
    -0.72
    trap
    -0.71
     contrace
    -0.70
    Enlarge
    -0.63
    alias
    -0.63
    heid
    -0.60
    manager
    -0.59
     premise
    -0.59
    Interstitial
    -0.59
    SOURCE
    -0.59
    POSITIVE LOGITS
    awed
    1.08
    dust
    1.01
    arnaev
    0.94
    eeper
    0.88
    ei
    0.80
     firsthand
    0.76
    Ĺ
    0.76
    lights
    0.76
    enance
    0.75
    ered
    0.74
    Activations Density 0.066%

    No Known Activations