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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. 1-RES-JB
    11. 13444
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    Explanations

    phrases related to defeat or negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lose" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thodox
    -0.69
    anwhile
    -0.65
     assembled
    -0.65
     populated
    -0.63
    abad
    -0.61
     threaded
    -0.61
    wik
    -0.60
    osi
    -0.60
    oin
    -0.59
    raised
    -0.59
    POSITIVE LOGITS
    veyard
    0.96
    byss
    0.87
    luster
    0.87
    itaire
    0.83
    ãĤ£
    0.83
     lose
    0.81
    terson
    0.79
    soever
    0.79
     Loss
    0.77
     losses
    0.76
    Activations Density 0.015%

    No Known Activations