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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. 9-RES-JB
    11. 19589
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    Explanations

    phrases related to running out of something, particularly in challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating depletion or lack

    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
    iol
    -0.60
    once
    -0.56
    ©¶æ
    -0.56
     Variant
    -0.56
     Investigative
    -0.54
    antine
    -0.54
    imer
    -0.54
    tip
    -0.54
     subp
    -0.53
     eye
    -0.53
    POSITIVE LOGITS
    stretched
    0.81
    doors
    0.80
    Tube
    0.78
    ta
    0.77
    raged
    0.75
    dated
    0.75
    matched
    0.73
    fitted
    0.73
    ubs
    0.71
    skirts
    0.68
    Activations Density 0.040%

    No Known Activations