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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. 15555
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    Explanations

    punctuation marks at the end of sentences

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    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
    Not in Any Lists

    No Comments

    Negative Logits
    emaker
    -0.73
     allowance
    -0.72
     boutique
    -0.71
    onda
    -0.70
     purse
    -0.69
    thal
    -0.67
     currently
    -0.67
     strap
    -0.66
    istor
    -0.66
    onga
    -0.66
    POSITIVE LOGITS
     Eventually
    1.20
     Fortunately
    1.14
     Instead
    1.13
     Then
    1.12
     Thankfully
    1.12
     Luckily
    1.11
     Afterwards
    1.10
     Initially
    1.10
     Unfortunately
    1.08
     Ultimately
    1.08
    Activations Density 0.759%

    No Known Activations