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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 17401
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    INDEX
    Explanations

    geographical locations specifically related to mountains

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of "Mountain" 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
    ional
    -1.00
    lest
    -0.83
    metic
    -0.80
    isen
    -0.79
    orate
    -0.77
    ivity
    -0.77
    soc
    -0.76
    alien
    -0.76
    earance
    -0.76
    emis
    -0.75
    POSITIVE LOGITS
     Mountain
    1.23
     Riders
    0.94
     Island
    0.89
     Valley
    0.88
    ountain
    0.88
     Mountains
    0.85
     Bike
    0.84
     Alto
    0.83
     biking
    0.82
     Meadows
    0.82
    Activations Density 0.009%

    No Known Activations