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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. 0-RES-JB
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    Explanations

    terms related to academic research and investigation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "studied."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    able
    -0.70
     retaliation
    -0.68
     eviction
    -0.67
    prem
    -0.66
    KC
    -0.63
     OEM
    -0.63
     (#
    -0.62
     Dock
    -0.61
     cancellation
    -0.61
    !!!!
    -0.60
    POSITIVE LOGITS
     studied
    2.92
     studying
    2.83
     study
    2.17
    study
    2.06
     Study
    1.91
    Study
    1.91
     studies
    1.89
    stud
    1.55
    Stud
    1.55
     Studies
    1.46
    Activations Density 0.020%

    No Known Activations