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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. 7484
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    Explanations

    questions or prompts at the end of a sentence

    oai_token-act-pair · gpt-3.5-turbo

    questions that reflect curiosity or uncertainty

    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
     helicop
    -0.74
     manif
    -0.68
     marsh
    -0.64
     Nadu
    -0.64
    bledon
    -0.64
     horizont
    -0.62
     describ
    -0.59
     squared
    -0.59
    forth
    -0.59
     lob
    -0.59
    POSITIVE LOGITS
    ����
    0.82
     Nope
    0.82
    .?
    0.81
    utm
    0.78
     Might
    0.75
     Coverage
    0.73
     Why
    0.72
     Attend
    0.71
    ¶
    0.70
     Does
    0.70
    Activations Density 0.069%

    No Known Activations