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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 6215
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    Explanations

    phrases related to personal experiences and emotions

    oai_token-act-pair · gpt-3.5-turbo

    discussions about significant discoveries or revelations

    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
    )?
    -0.83
    ?),
    -0.74
    ?).
    -0.66
    ?)
    -0.66
     similarly
    -0.65
    ensibly
    -0.65
     substantially
    -0.61
    ationally
    -0.61
     equitable
    -0.60
     caucuses
    -0.60
    POSITIVE LOGITS
    !".
    0.96
    !"
    0.96
    !:
    0.91
    !!"
    0.91
    !",
    0.88
    ."
    0.84
    "!
    0.84
    !
    0.82
    !!
    0.81
    .",
    0.79
    Activations Density 0.618%

    No Known Activations