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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. 9-RES-JB
    11. 19553
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    Explanations

    phrases related to recommendations or critiques

    oai_token-act-pair · gpt-3.5-turbo

    commas and phrases indicating pauses or transitions in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irie
    -0.74
    xon
    -0.70
    umin
    -0.65
    ework
    -0.59
    »Ĵ
    -0.59
    iple
    -0.58
     Became
    -0.58
    isse
    -0.57
    upt
    -0.57
     Activate
    -0.56
    POSITIVE LOGITS
     lest
    1.43
     preferring
    1.39
     because
    1.29
     fearing
    1.29
     especially
    1.23
    especially
    1.19
     particularly
    1.15
    particularly
    1.10
    because
    1.10
     knowing
    1.08
    Activations Density 0.367%

    No Known Activations