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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. 6-RES-JB
    11. 14700
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    Explanations

    phrases that refer to opposite ends, extremes, or contrasts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to the concept of "ends" or "ends" of objects or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dinand
    -0.68
     Flavoring
    -0.66
     Courage
    -0.65
     exceptional
    -0.63
     irregular
    -0.63
    PDATE
    -0.62
    issance
    -0.61
     opportunity
    -0.61
    atoon
    -0.60
     unusual
    -0.60
    POSITIVE LOGITS
    angering
    1.21
    owment
    1.12
    ocrine
    1.02
    ocrin
    1.00
    angers
    0.95
    game
    0.91
    angered
    0.85
    omorph
    0.83
    omet
    0.83
    games
    0.81
    Activations Density 0.046%

    No Known Activations