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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. 2720
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    Explanations

    words related to mountainous terrain

    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
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    No Comments

    Negative Logits
    ating
    -0.74
     mate
    -0.67
     partner
    -0.66
    fare
    -0.65
     disruptive
    -0.65
    ucci
    -0.64
    NER
    -0.63
    ry
    -0.63
    wing
    -0.62
    lear
    -0.62
    POSITIVE LOGITS
     mountains
    3.42
     Mountains
    2.74
     hills
    2.58
     cliffs
    1.90
     valleys
    1.84
     Alps
    1.84
     mountainous
    1.74
     deserts
    1.65
     footh
    1.65
     forests
    1.61
    Activations Density 0.015%

    No Known Activations