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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. 3-RES-JB
    11. 8225
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    Explanations

    mentions of different types of organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of organizations

    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
    req
    -0.69
    ault
    -0.65
     Quant
    -0.65
    Shock
    -0.64
    stroke
    -0.63
     Mush
    -0.62
     Defin
    -0.62
    gets
    -0.62
     MacBook
    -0.61
    Lew
    -0.60
    POSITIVE LOGITS
     organizations
    0.90
    anto
    0.87
     affili
    0.87
     sponsoring
    0.84
    ally
    0.84
    eers
    0.83
     organization
    0.82
    arily
    0.81
     bom
    0.81
     organisations
    0.81
    Activations Density 0.027%

    No Known Activations