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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. 5355
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    Explanations

    verbs related to physical actions or changes

    oai_token-act-pair · gpt-3.5-turbo

    actions or conditions related to functional mechanics or operational outcomes

    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
     pilgr
    -0.67
    izontal
    -0.66
    76561
    -0.64
    john
    -0.62
    quin
    -0.61
     è£ıç
    -0.60
    é¾įå
    -0.58
     presiding
    -0.56
    ourning
    -0.56
    pora
    -0.56
    POSITIVE LOGITS
     smoothly
    1.11
     itself
    1.06
     reliably
    0.96
     evenly
    0.91
     properly
    0.90
     nicely
    0.90
     satisf
    0.89
     spontaneously
    0.86
     correctly
    0.84
     sooner
    0.83
    Activations Density 0.291%

    No Known Activations