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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. 7-RES-JB
    11. 10894
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    Explanations

    introductory phrases or sentence structures

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce or transition between ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.73
    ument
    -0.70
    assed
    -0.67
    arah
    -0.66
    erver
    -0.66
    inately
    -0.65
    inated
    -0.65
    onet
    -0.62
    minster
    -0.62
    ³
    -0.62
    POSITIVE LOGITS
     suffice
    0.94
     however
    0.88
     congr
    0.85
     please
    0.84
     let
    0.84
     LET
    0.78
     Lets
    0.76
     congratulations
    0.74
     yeah
    0.71
     we
    0.71
    Activations Density 0.268%

    No Known Activations