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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. 16471
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    Explanations

    technical data or information mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technical specifications or performance evaluations

    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
     congr
    -0.71
    psons
    -0.68
    venge
    -0.66
    romeda
    -0.65
    cyclopedia
    -0.65
     congratulations
    -0.63
    igm
    -0.63
     aven
    -0.62
     Osw
    -0.62
    eous
    -0.61
    POSITIVE LOGITS
     inadequate
    1.44
     insufficient
    1.39
     lacked
    1.37
     poorly
    1.36
    failed
    1.36
     inconsist
    1.35
     incorrectly
    1.32
     fails
    1.30
     failed
    1.30
     incomplete
    1.29
    Activations Density 2.405%

    No Known Activations