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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. 3-RES-JB
    11. 7094
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    Explanations

    numerical spans or ranges

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to measurement of duration or time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tical
    -0.74
    tics
    -0.71
    ãĤº
    -0.64
     unnatural
    -0.62
     leveled
    -0.59
    husband
    -0.58
    yrics
    -0.58
    ãĥīãĥ©
    -0.57
     GEAR
    -0.57
    phis
    -0.57
    POSITIVE LOGITS
    span
    1.21
     span
    1.08
    ning
    0.99
    ming
    0.94
     Chun
    0.84
    ible
    0.83
    itime
    0.82
    ner
    0.82
    olicy
    0.82
    isphere
    0.82
    Activations Density 0.005%

    No Known Activations