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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. 0-RES-JB
    11. 6597
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    Explanations

    phrases indicating varying levels or degrees of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate varying degrees or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    athon
    -0.68
    vana
    -0.62
     belongs
    -0.61
     Otherwise
    -0.60
    daq
    -0.59
    illa
    -0.59
    iar
    -0.58
    istan
    -0.58
    wrap
    -0.58
    ama
    -0.58
    POSITIVE LOGITS
     varying
    3.57
     differing
    2.86
     varied
    1.78
     contrasting
    1.62
     conflicting
    1.54
     disparate
    1.48
     alternating
    1.45
     different
    1.42
     various
    1.42
     ranging
    1.40
    Activations Density 0.018%

    No Known Activations