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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. 10-RES-JB
    11. 5542
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    Explanations

    proper nouns such as names of places, organizations, and people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places and people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è£ħ
    -0.93
     Spiegel
    -0.67
     Canaver
    -0.64
    PDATE
    -0.60
    manship
    -0.58
    ãĥĥãĥī
    -0.58
    ãĥį
    -0.56
    ÙĨ
    -0.56
     kid
    -0.55
    ãĤ¤
    -0.55
    POSITIVE LOGITS
    insula
    1.07
    estead
    1.04
    arf
    0.90
     Cemetery
    0.85
     Shoals
    0.84
     Mountains
    0.84
     peninsula
    0.83
    iffs
    0.83
    astery
    0.82
     Resort
    0.77
    Activations Density 0.192%

    No Known Activations