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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. 13232
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    Explanations

    phrases related to instructions or constraints

    oai_token-act-pair · gpt-3.5-turbo

    specific items or mentions related to restrictions or prohibitions

    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
    ortment
    -0.64
    ffield
    -0.64
    ometimes
    -0.61
    rongh
    -0.59
    eele
    -0.58
    anmar
    -0.58
     Bowen
    -0.58
    ulner
    -0.58
     Ashton
    -0.58
     Ezek
    -0.58
    POSITIVE LOGITS
     whatsoever
    1.77
     nor
    1.42
     anymore
    1.26
     slightest
    0.98
     except
    0.97
     anywhere
    0.95
    nor
    0.94
     requirement
    0.88
     detectable
    0.80
     avail
    0.80
    Activations Density 0.309%

    No Known Activations