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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. 10-RES-JB
    6. 16826
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    Explanations

    specific times and dates

    oai_token-act-pair · gpt-3.5-turbo

    dates and times associated with events and sales

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Angle
    -0.57
     Cosponsors
    -0.57
     acron
    -0.55
     Craw
    -0.54
    allery
    -0.54
     precedence
    -0.54
     Ally
    -0.53
     ALP
    -0.53
     acronym
    -0.53
     Palestin
    -0.53
    POSITIVE LOGITS
    actly
    0.65
    isan
    0.65
     hundred
    0.64
    999
    0.63
    ão
    0.63
    icular
    0.61
    onica
    0.60
    ruct
    0.60
    ember
    0.59
    igr
    0.59
    Activations Density 0.120%

    No Known Activations