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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. 4-RES-JB
    11. 910
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    Explanations

    dairy products or related terms, particularly focusing on cheese

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of cheese and sample-related terms

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

    No Comments

    Negative Logits
     Hale
    -0.83
     Participation
    -0.76
     Dome
    -0.71
     Analyst
    -0.71
     Funding
    -0.70
     Bunker
    -0.70
     Shed
    -0.68
     Plum
    -0.68
    isSpecialOrderable
    -0.66
     Brigade
    -0.66
    POSITIVE LOGITS
    eless
    1.06
    osc
    1.00
    earch
    0.97
    eness
    0.95
    amen
    0.93
    etime
    0.93
    elling
    0.89
    orial
    0.89
    keyes
    0.89
    itsu
    0.87
    Activations Density 0.027%

    No Known Activations