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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. 2388
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    Explanations

    phrases related to technology and innovation

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period, indicating a statement or conclusion

    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
    ebus
    -0.75
     informant
    -0.69
     grain
    -0.69
    inel
    -0.68
     probation
    -0.68
     undercover
    -0.66
     ally
    -0.65
     pearl
    -0.65
     merit
    -0.64
     holdings
    -0.63
    POSITIVE LOGITS
     Especially
    1.53
     Whether
    1.41
     Often
    1.40
     Luckily
    1.38
     Thankfully
    1.34
     Fortunately
    1.33
     Usually
    1.32
     Sometimes
    1.32
     Particularly
    1.27
     Unfortunately
    1.24
    Activations Density 0.406%

    No Known Activations