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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. 1-RES-JB
    11. 11305
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    Explanations

    locations with the word "mountains"

    oai_token-act-pair · gpt-3.5-turbo

    references to mountains or mountainous regions

    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
    tle
    -0.80
    lich
    -0.69
    PAR
    -0.67
    cer
    -0.67
    cci
    -0.65
    Labor
    -0.65
    Pope
    -0.64
    NA
    -0.64
    Die
    -0.63
    NK
    -0.63
    POSITIVE LOGITS
     mountains
    1.13
     Mountains
    0.96
     challeng
    0.86
     hills
    0.83
     footh
    0.82
     valleys
    0.77
    ongs
    0.76
    mith
    0.76
     biome
    0.75
     gorge
    0.74
    Activations Density 0.020%

    No Known Activations