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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. 0-RES-JB
    11. 9943
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    Explanations

    mentions of different types of landscapes, with a particular focus on mountains

    oai_token-act-pair · gpt-3.5-turbo

    references to mountains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agents
    -0.77
    Console
    -0.76
     Kinect
    -0.76
    IGN
    -0.75
     Ads
    -0.73
    Scan
    -0.72
     Contracts
    -0.71
    Contract
    -0.70
     Aden
    -0.69
    ART
    -0.69
    POSITIVE LOGITS
     mountain
    3.40
     mountains
    2.43
     Mountain
    2.11
     hill
    1.85
     Mountains
    1.79
     mountainous
    1.79
     volcano
    1.64
     hills
    1.60
     Himal
    1.56
    mount
    1.55
    Activations Density 0.018%

    No Known Activations