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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. 10-RES-JB
    11. 10660
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    Explanations

    the conjunction "but"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "but"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.73
    âĶĢâĶĢâĶĢâĶĢ
    -0.71
    seless
    -0.69
    MY
    -0.68
    utic
    -0.67
    QB
    -0.67
    pt
    -0.67
    à¨
    -0.66
    null
    -0.65
    ãĥİ
    -0.65
    POSITIVE LOGITS
     anecd
    1.36
     suffice
    1.14
     nevertheless
    1.09
     nonetheless
    1.07
     luckily
    0.93
     anecdotal
    0.90
     fortunately
    0.87
     hey
    0.86
     judging
    0.85
     indications
    0.82
    Activations Density 0.188%

    No Known Activations