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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. 7-RES-JB
    11. 4973
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    Explanations

    sequences involving holding or containing something for a specific duration of time

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "for."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.82
    quartered
    -0.68
    Jr
    -0.63
    alty
    -0.62
     approached
    -0.62
    ryu
    -0.61
    semble
    -0.60
    subject
    -0.59
    querque
    -0.59
    lein
    -0.58
    POSITIVE LOGITS
     awhile
    1.10
     instance
    1.06
     reasons
    1.02
     example
    1.02
    geries
    0.99
    gotten
    0.97
     sake
    0.97
     purposes
    0.94
     eternity
    0.93
     starters
    0.93
    Activations Density 0.188%

    No Known Activations