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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23093
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    Explanations

    personal names, specifically the name "Michelle"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Michelle" and specific phrases with punctuation

    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
     Chung
    -0.78
     Chu
    -0.75
     Schiff
    -0.73
     CHAR
    -0.72
    297
    -0.72
    CHAR
    -0.71
     Dill
    -0.70
    «
    -0.70
     Chimera
    -0.69
     chalk
    -0.69
    POSITIVE LOGITS
    Os
    1.38
    O
    1.32
     Od
    1.25
     OD
    1.24
    Ol
    1.19
    OA
    1.17
     Olson
    1.16
     O
    1.14
    Oak
    1.13
     Ori
    1.13
    Activations Density 0.590%

    No Known Activations