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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. 18898
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    INDEX
    Explanations

    adjectives related to size or scale

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to size or significance

    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
    YES
    -0.72
     srfAttach
    -0.63
     both
    -0.61
     untold
    -0.60
    multiple
    -0.58
     periodically
    -0.58
     awoken
    -0.57
    çīĪ
    -0.57
     assorted
    -0.57
     culminating
    -0.56
    POSITIVE LOGITS
     nor
    1.70
     anymore
    1.65
     slightest
    1.35
     necessarily
    1.14
    nor
    1.10
    yet
    1.08
     anything
    1.01
     anybody
    1.00
     whatsoever
    0.98
     any
    0.95
    Activations Density 0.396%

    No Known Activations