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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. 9-RES-JB
    6. 22538
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    INDEX
    Explanations

    specific names of people and entities

    oai_token-act-pair · gpt-3.5-turbo

    individuals or entities of interest within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prest
    -0.58
    }\
    -0.56
    ":"","
    -0.52
    wealth
    -0.52
    }.
    -0.51
    said
    -0.51
    evin
    -0.50
     reper
    -0.50
    });
    -0.50
    };
    -0.50
    POSITIVE LOGITS
    DragonMagazine
    0.70
    Coin
    0.59
    Fax
    0.57
    actly
    0.56
    ratom
    0.56
     onto
    0.51
    coins
    0.51
    's
    0.51
    roo
    0.51
     differently
    0.50
    Activations Density 1.006%

    No Known Activations