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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. 10-RES-JB
    11. 5740
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    Explanations

    past tense verbs ending in 'ed'

    oai_token-act-pair · gpt-3.5-turbo

    past and present participles of verbs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥ¯ãĥ³
    -0.73
    å£
    -0.70
    ãĥ¼ãĥ«
    -0.61
    ãĥIJ
    -0.60
    zn
    -0.58
    ãĥĩãĤ£
    -0.58
    vier
    -0.57
    irtual
    -0.56
    Story
    -0.56
    employ
    -0.56
    POSITIVE LOGITS
    redients
    1.05
    tons
    0.70
    ulate
    0.68
    ean
    0.62
    ially
    0.62
     Tempest
    0.62
     away
    0.61
    rates
    0.61
    rums
    0.60
    lease
    0.60
    Activations Density 0.204%

    No Known Activations