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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 24019
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    Explanations

    JavaScript code snippets containing references to specific containers and modes

    oai_token-act-pair · gpt-3.5-turbo

    punctuations and formatting characters in code or markup

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CBC
    -0.72
    chin
    -0.71
    umm
    -0.69
    ug
    -0.68
    FW
    -0.68
    ourn
    -0.65
    ega
    -0.65
    ern
    -0.65
    GM
    -0.63
    conom
    -0.62
    POSITIVE LOGITS
     EntityItem
    0.91
    ooters
    0.86
    channelAvailability
    0.81
     etc
    0.78
     whence
    0.77
     partName
    0.73
     respectively
    0.71
    ,,,,,,,,
    0.67
     ?)
    0.65
     "$:/
    0.62
    Activations Density 0.057%

    No Known Activations