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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. 2-RES-JB
    6. 8560
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    INDEX
    Explanations

    occurrences where a statement or action is being highlighted or emphasized

    oai_token-act-pair · gpt-3.5-turbo

    introductory phrases or transitions that indicate a statement or a point being made

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EngineDebug
    -0.63
    udic
    -0.58
    ],"
    -0.57
    ',"
    -0.56
    Semitic
    -0.53
    igenous
    -0.51
    "}],"
    -0.51
    0000000000000000
    -0.51
    ãĥĺãĥ©
    -0.50
    querade
    -0.49
    POSITIVE LOGITS
    cknowled
    0.64
    terness
    0.56
    cing
    0.53
     Info
    0.44
     Serving
    0.44
     Recover
    0.43
     kernels
    0.42
     Symptoms
    0.41
    alyses
    0.41
     Figures
    0.41
    Activations Density 0.766%

    No Known Activations