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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
    11. 550
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    INDEX
    Explanations

    adjectives related to physical dimensions or quantity

    oai_token-act-pair · gpt-3.5-turbo

    the word "narrow" in various contexts

    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
    ICAN
    -0.93
    natureconservancy
    -0.86
    IRED
    -0.77
    FORE
    -0.75
     Forever
    -0.74
     Guarant
    -0.74
     Athlet
    -0.73
    IAN
    -0.73
    Ranked
    -0.72
     Mineral
    -0.72
    POSITIVE LOGITS
     narrow
    1.28
     margins
    0.98
     narrowing
    0.98
     narrower
    0.92
     pane
    0.87
     narrowed
    0.86
     daylight
    0.85
     confines
    0.84
     minded
    0.80
    creen
    0.80
    Activations Density 0.009%

    No Known Activations