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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. 23961
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    Explanations

    phrases indicating exclusivity or restriction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating limited or conditional actions and experiences

    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
    oris
    -0.64
    tube
    -0.61
    idon
    -0.58
    robat
    -0.56
    pora
    -0.53
    azel
    -0.53
     Dru
    -0.52
    alam
    -0.52
     INCLUD
    -0.51
     rethink
    -0.51
    POSITIVE LOGITS
     marginally
    0.99
     spor
    0.92
     ONE
    0.87
     insofar
    0.85
     peripher
    0.80
     curs
    0.77
     one
    0.71
     fleeting
    0.71
     fraction
    0.70
    ifiable
    0.69
    Activations Density 0.264%

    No Known Activations