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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4746
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    Explanations

    statements made by spokespersons or representatives

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating spokesperson statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
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    ï¸
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    =~=~
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    \/\/
    -0.65
    estern
    -0.64
    RIP
    -0.63
    ãģ®ç
    -0.63
    spir
    -0.63
    POSITIVE LOGITS
     briefs
    0.74
    terday
    0.74
    ogun
    0.72
    hement
    0.70
     briefing
    0.69
    .):
    0.69
    arity
    0.67
    ardi
    0.66
     briefed
    0.65
     briefings
    0.64
    Activations Density 0.197%

    No Known Activations