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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. 10-RES-JB
    11. 16573
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    INDEX
    Explanations

    phrases related to reasons or causes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack or absence of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ographs
    -0.96
    ishers
    -0.79
    tops
    -0.78
    osponsors
    -0.78
     Steps
    -0.76
    grounds
    -0.73
    Contents
    -0.72
    stars
    -0.71
    aces
    -0.71
     Exactly
    -0.71
    POSITIVE LOGITS
     lack
    1.53
     shortage
    1.43
     misunderstanding
    1.23
     spate
    1.22
     tendency
    1.21
     shortfall
    1.21
     slowdown
    1.15
     reluctance
    1.12
     mismatch
    1.12
     discrepancy
    1.10
    Activations Density 0.231%

    No Known Activations