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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. 12-RES-JB
    11. 2816
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    Explanations

    the conjunction 'and' at a high activation level

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    the conjunction "and" as well as specific formatting or syntactic structures in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    nor
    -0.79
    emp
    -0.76
    Shock
    -0.74
    LAB
    -0.70
    å¦
    -0.69
    NULL
    -0.69
    omy
    -0.68
    Liter
    -0.66
    ZA
    -0.64
    except
    -0.62
    POSITIVE LOGITS
     downs
    1.11
     running
    1.03
     down
    1.02
     com
    0.89
    coming
    0.87
     coming
    0.84
     Running
    0.84
    running
    0.81
    down
    0.81
     RUN
    0.74
    Activations Density 0.052%

    No Known Activations