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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. 7-RES-JB
    11. 18056
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    Explanations

    phrases related to getting accustomed or familiar with something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "used" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    merce
    -0.62
    owitz
    -0.60
    imov
    -0.59
     achie
    -0.57
    biz
    -0.54
     awarded
    -0.54
     irrad
    -0.53
     Tale
    -0.53
    antle
    -0.52
     challeng
    -0.52
    POSITIVE LOGITS
    fully
    1.01
    ience
    0.96
    fulness
    0.90
    ench
    0.79
    oise
    0.78
    ãĥ¬
    0.76
    ead
    0.73
    ister
    0.71
    ickle
    0.69
    ãĥ©
    0.68
    Activations Density 0.045%

    No Known Activations