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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. 11-RES-JB
    11. 21544
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    information related to health consequences and environmental factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "]=>
    -0.67
    [/
    -0.56
     [/
    -0.56
    Firstly
    -0.55
     horrend
    -0.54
     Whilst
    -0.54
    omin
    -0.53
    absolute
    -0.51
    ´
    -0.51
    =>
    -0.51
    POSITIVE LOGITS
     quieter
    0.59
     newer
    0.55
     reconnect
    0.55
     recons
    0.54
     nicer
    0.52
     occasional
    0.52
     slower
    0.52
     stead
    0.51
     awhile
    0.51
     smaller
    0.51
    Activations Density 1.616%

    No Known Activations