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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
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    Explanations

    the term "Woods" with different numeric associations, possibly related to a specific context or individual

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Woods."

    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
    otation
    -0.76
    LM
    -0.72
    ITAL
    -0.67
    OV
    -0.67
    ICAN
    -0.65
    activation
    -0.64
    usions
    -0.64
    imated
    -0.63
    uania
    -0.63
    ī
    -0.62
    POSITIVE LOGITS
     Woods
    1.09
    hed
    1.00
     Hole
    0.94
    lake
    0.87
    boro
    0.85
     Ridge
    0.80
    enegger
    0.80
    schild
    0.79
    bury
    0.79
    thur
    0.78
    Activations Density 0.015%

    No Known Activations