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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. 9-RES-JB
    6. 21477
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    Explanations

    phrases related to ratings or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to rating or evaluating items

    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
    aires
    -0.69
    aire
    -0.68
    ELS
    -0.67
    ancies
    -0.63
    ciating
    -0.61
     Gazette
    -0.59
     thr
    -0.58
    ORE
    -0.58
    externalActionCode
    -0.58
     outnumbered
    -0.57
    POSITIVE LOGITS
    this
    1.43
     this
    1.20
    This
    1.13
     THIS
    1.09
     This
    1.04
    THIS
    0.94
    these
    0.94
     these
    0.75
    past
    0.69
    that
    0.69
    Activations Density 0.246%

    No Known Activations