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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. 9-RES-JB
    11. 5037
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    Explanations

    phrases related to bearing something, whether it's a burden, responsibility, or fruit

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bear" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opus
    -0.80
    lectic
    -0.77
    apo
    -0.75
    ules
    -0.74
    anwhile
    -0.73
    inx
    -0.72
    ular
    -0.69
    hyp
    -0.67
    arta
    -0.66
    Hub
    -0.66
    POSITIVE LOGITS
    beit
    1.04
     witness
    1.01
     fruit
    0.95
     brunt
    0.89
     resemblance
    0.88
     repeating
    0.83
     cub
    0.82
    alis
    0.77
     claws
    0.72
    stal
    0.71
    Activations Density 0.037%

    No Known Activations