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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. 2-RES-JB
    11. 21467
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    INDEX
    Explanations

    phrases or words related to difficult or challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    references to challenges or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ablishment
    -0.81
    oration
    -0.77
    ript
    -0.74
    vation
    -0.73
     Expend
    -0.71
    oreal
    -0.70
    arel
    -0.70
    bleacher
    -0.70
    owment
    -0.69
    onde
    -0.68
    POSITIVE LOGITS
     tricky
    1.19
    icult
    0.88
     pesky
    0.80
     undermin
    0.77
     adolesc
    0.75
     delicate
    0.74
     navigating
    0.73
     little
    0.73
     forgiving
    0.72
     maneuver
    0.71
    Activations Density 0.011%

    No Known Activations