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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. 9240
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    Explanations

    phrases starting with a colon followed by a statement

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue in various contexts

    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
     trouble
    -0.79
     hemor
    -0.71
    aukee
    -0.71
     wre
    -0.68
     denomin
    -0.67
     adjud
    -0.67
     firewall
    -0.66
     troubles
    -0.66
     tremend
    -0.66
     printer
    -0.66
    POSITIVE LOGITS
     "âĢ¦
    1.11
     "...
    1.03
     "[
    0.95
     '[
    0.95
     "'
    0.94
     "@
    0.86
     "(
    0.86
     ""
    0.80
     "$
    0.78
     Provided
    0.76
    Activations Density 0.088%

    No Known Activations