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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. 11-RES-JB
    11. 23189
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    Explanations

    phrases related to success and achievement

    oai_token-act-pair · gpt-3.5-turbo

    the presence of special characters or markdown elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     hemor
    -0.53
    ij士
    -0.53
     looph
    -0.51
     millenn
    -0.50
     rall
    -0.49
     comr
    -0.47
     blat
    -0.47
     incorpor
    -0.46
     predec
    -0.46
     advoc
    -0.44
    POSITIVE LOGITS
    )?
    1.09
    ?),
    1.08
    ?).
    1.05
    "?
    0.94
    ?",
    0.94
    ?)
    0.90
    ?"
    0.90
     depends
    0.88
    ?".
    0.87
    ?'
    0.87
    Activations Density 0.794%

    No Known Activations