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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. 3-RES-JB
    11. 9672
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    Explanations

    references to rivers

    oai_token-act-pair · gpt-3.5-turbo

    references to rivers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.71
    ISTER
    -0.71
    OSH
    -0.71
    iaries
    -0.67
    eon
    -0.67
    minded
    -0.64
    practice
    -0.62
    Rated
    -0.61
    CRIPTION
    -0.61
    rontal
    -0.61
    POSITIVE LOGITS
    bank
    1.15
    banks
    1.07
     basin
    1.00
     river
    0.98
     valley
    0.96
    front
    0.92
    boat
    0.92
     River
    0.92
     Thames
    0.88
     rivers
    0.85
    Activations Density 0.012%

    No Known Activations