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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. 5400
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    INDEX
    Explanations

    phrases indicating understanding or familiarity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "what" related to knowledge and understanding

    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
    krit
    -0.66
    ierrez
    -0.66
    geoning
    -0.64
    alon
    -0.63
    auri
    -0.63
    Ń·
    -0.61
    ynski
    -0.59
    erate
    -0.59
    enegger
    -0.58
    ÃĽ
    -0.58
    POSITIVE LOGITS
     happened
    1.18
     happens
    1.14
     constitutes
    1.05
     else
    1.00
     kinds
    0.99
     happ
    0.97
     kind
    0.95
     transpired
    0.94
     bothers
    0.88
     awaits
    0.86
    Activations Density 0.072%

    No Known Activations