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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. 4-RES-JB
    11. 2801
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    Explanations

    words indicating accountability or responsibility

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "whoever" and related variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enthal
    -0.84
    enburg
    -0.73
    MSN
    -0.71
    enberg
    -0.70
    chell
    -0.68
    eda
    -0.67
    asse
    -0.65
     Range
    -0.64
    ert
    -0.64
    ends
    -0.63
    POSITIVE LOGITS
     else
    1.18
    soever
    1.18
    ftime
    0.87
    oshop
    0.84
     interfered
    0.83
    ileaks
    0.82
     dreamed
    0.79
    DragonMagazine
    0.79
    omever
    0.79
     wished
    0.78
    Activations Density 0.006%

    No Known Activations