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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. 0-RES-JB
    11. 2605
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    INDEX
    Explanations

    occurrences of the word "more" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "more" and related terms indicating quantity or mass

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eneg
    -0.69
     Rodgers
    -0.66
     Tickets
    -0.64
    ospons
    -0.63
    hon
    -0.63
    ador
    -0.63
    bows
    -0.62
     Stun
    -0.61
     Rog
    -0.61
     telev
    -0.61
    POSITIVE LOGITS
     mor
    2.25
     masse
    2.18
     mound
    1.93
     masses
    1.14
     mass
    1.13
     blob
    1.05
     lump
    1.04
    mass
    0.87
    mallow
    0.85
     spoon
    0.83
    Activations Density 0.025%

    No Known Activations