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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. 6-RES-JB
    11. 17324
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    INDEX
    Explanations

    phrases related to making decisions by considering different factors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evaluating or assessing options or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellen
    -0.73
    employment
    -0.72
    etheless
    -0.71
    interrupted
    -0.70
    zynski
    -0.67
    esan
    -0.67
    claimed
    -0.65
    ahime
    -0.65
    ades
    -0.62
     Noir
    -0.62
    POSITIVE LOGITS
     weigh
    1.14
     weighing
    0.93
     weights
    0.90
    ighed
    0.86
     weighed
    0.82
     weighs
    0.76
     burdens
    0.73
     scales
    0.73
     heaviest
    0.71
    iless
    0.70
    Activations Density 0.024%

    No Known Activations