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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. 1-RES-JB
    11. 21845
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    Explanations

    measures and numerical ranges in a technical or scientific context

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.74
    yout
    -0.74
    interpret
    -0.70
    URI
    -0.69
    CHAT
    -0.69
    Versions
    -0.68
    ^^
    -0.68
    details
    -0.67
    hod
    -0.67
    mus
    -0.66
    POSITIVE LOGITS
     increments
    0.75
    rontal
    0.71
     knees
    0.68
     precipitation
    0.66
    bis
    0.66
     denominations
    0.65
    quartered
    0.64
     racks
    0.64
    perture
    0.63
    apters
    0.63
    Activations Density 1.882%

    No Known Activations