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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. 4168
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    Explanations

    dates and specific years

    oai_token-act-pair · gpt-3.5-turbo

    dates and time references

    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
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    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.78
    ãĥ¥
    -0.74
    addin
    -0.71
    odox
    -0.69
    upper
    -0.67
    Third
    -0.65
    rack
    -0.64
    FactoryReloaded
    -0.63
    igraph
    -0.63
    oph
    -0.63
    POSITIVE LOGITS
     however
    0.77
     ende
    0.68
     meanwhile
    0.67
    essions
    0.64
    essage
    0.64
     onwards
    0.63
    iannopoulos
    0.62
    oulos
    0.61
     Gone
    0.59
     Chatt
    0.58
    Activations Density 0.145%

    No Known Activations