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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

    locations or landmarks named "Mountain" in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to "Mountain" and associated places

    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
    ional
    -0.98
    ifice
    -0.92
    orate
    -0.88
    lest
    -0.85
    metic
    -0.84
    ded
    -0.81
    pers
    -0.79
    ions
    -0.79
    alien
    -0.79
    ifiable
    -0.79
    POSITIVE LOGITS
     Mountain
    1.02
     Riders
    0.91
     Island
    0.91
     Bike
    0.89
    lake
    0.86
     Valley
    0.84
     biking
    0.84
     Meadows
    0.84
     Highway
    0.84
     Alto
    0.83
    Activations Density 0.012%

    No Known Activations