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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    proper nouns or specific names related to a place or person ending in 'stone'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stone" in various contexts

    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
    ntil
    -0.94
    olulu
    -0.83
    ournal
    -0.78
    akening
    -0.78
     actionGroup
    -0.71
    merce
    -0.69
    Ģ
    -0.68
    Anonymous
    -0.67
    į
    -0.66
    ateur
    -0.66
    POSITIVE LOGITS
    stone
    1.05
    stones
    0.97
    Stone
    0.94
    fish
    0.93
    born
    0.83
    bridge
    0.83
    hill
    0.83
    craft
    0.80
    mont
    0.79
    hog
    0.77
    Activations Density 0.008%

    No Known Activations