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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. 8-RES-JB
    11. 9936
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    Explanations

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-3.5-turbo

    instances of commas in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Balanced
    -0.63
     Flavoring
    -0.61
     Respons
    -0.60
     Fired
    -0.59
     Ended
    -0.58
     Charg
    -0.56
    DAQ
    -0.56
    aukee
    -0.55
     Dragons
    -0.55
     Medals
    -0.55
    POSITIVE LOGITS
     uh
    1.28
     um
    1.14
     ah
    0.89
     yeah
    0.82
     say
    0.80
     albeit
    0.80
     unsurprisingly
    0.75
     interestingly
    0.75
    wait
    0.74
     yes
    0.74
    Activations Density 0.162%

    No Known Activations