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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. 9-RES-JB
    11. 13613
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    Explanations

    number values in the format of "X / Y" where X and Y are integers

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers associated with different incidents or elements in the text

    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
    cot
    -0.85
    yi
    -0.80
    pole
    -0.77
    uve
    -0.73
    DOS
    -0.68
    vP
    -0.67
    antis
    -0.66
    akin
    -0.66
    bush
    -0.64
    ftime
    -0.64
    POSITIVE LOGITS
     Caption
    1.08
     Submit
    0.80
    actionDate
    0.71
     REUTERS
    0.68
     DOWN
    0.67
     Loaded
    0.66
     Redux
    0.66
     istg
    0.66
     Duration
    0.65
     Images
    0.65
    Activations Density 0.050%

    No Known Activations