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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. 3715
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    Explanations

    references to a large quantity or numerous instances of something

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "many" in various contexts

    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
    IER
    -0.91
    ICO
    -0.76
    POSE
    -0.75
    ovember
    -0.71
    miah
    -0.70
    Naz
    -0.70
    eny
    -0.68
    wright
    -0.68
    ©¶æ
    -0.67
    Market
    -0.66
    POSITIVE LOGITS
     facets
    1.12
     possibilities
    0.95
     ways
    0.92
     complexities
    0.90
     contradictions
    0.83
     virtues
    0.82
    alities
    0.82
     nuances
    0.82
     iterations
    0.81
     manifestations
    0.81
    Activations Density 0.076%

    No Known Activations