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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. 7-RES-JB
    11. 9753
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    Explanations

    proper nouns or names of entities

    oai_token-act-pair · gpt-3.5-turbo

    specific names and proper nouns related to people, organizations, and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    代
    -0.38
    erous
    -0.37
     paperwork
    -0.33
    ardless
    -0.32
    Reilly
    -0.31
     vetted
    -0.31
    ioned
    -0.30
     designation
    -0.29
    oscopic
    -0.29
    ãĥĩãĤ£
    -0.28
    POSITIVE LOGITS
    ã
    0.36
     Belfast
    0.35
     Cardiff
    0.34
     trave
    0.34
     ANC
    0.34
     Whilst
    0.33
     Hearthstone
    0.33
     recognise
    0.33
    sbm
    0.32
     organise
    0.32
    Activations Density 4.881%

    No Known Activations