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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. 8940
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    Explanations

    food items, particularly soup

    oai_token-act-pair · gpt-3.5-turbo

    references to soup in various contexts

    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
    sburg
    -0.83
    enary
    -0.70
    istics
    -0.67
    eters
    -0.65
    ographs
    -0.64
    essor
    -0.64
    iffs
    -0.63
     appointments
    -0.62
    ific
    -0.62
     Ellis
    -0.59
    POSITIVE LOGITS
    glers
    0.93
    CLE
    0.92
    itably
    0.78
    ÃįÃį
    0.78
    nai
    0.76
     Soup
    0.75
    Jet
    0.75
    oslav
    0.75
    loo
    0.74
    chens
    0.73
    Activations Density 0.092%

    No Known Activations