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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. 17572
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    Explanations

    phrases related to achieving success or getting something done

    oai_token-act-pair · gpt-3.5-turbo

    variations of the phrase "get."

    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
     annex
    -0.61
     Archdemon
    -0.61
    terday
    -0.58
    Vert
    -0.55
     cardinal
    -0.55
     endeavour
    -0.55
     endeavor
    -0.54
    orable
    -0.53
    Town
    -0.53
     Britann
    -0.52
    POSITIVE LOGITS
     rid
    1.23
     fooled
    0.91
     away
    0.91
     into
    0.83
    away
    0.83
     foothold
    0.81
     entangled
    0.81
     distracted
    0.80
     acquainted
    0.79
     involved
    0.79
    Activations Density 0.118%

    No Known Activations