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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. 10-RES-JB
    11. 21666
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    Explanations

    terms related to scientific models and hypotheses, particularly those related to physical principles

    oai_token-act-pair · gpt-3.5-turbo

    topics related to economic models and societal structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exch
    -0.58
    ":[{"
    -0.54
    pmwiki
    -0.52
     Quote
    -0.51
    unte
    -0.51
    reenshot
    -0.50
     clipboard
    -0.48
     carefully
    -0.48
     fingerprints
    -0.47
     Pepe
    -0.47
    POSITIVE LOGITS
    .).
    0.76
    )).
    0.73
     millennium
    0.61
    ]).
    0.60
    lymp
    0.59
    ).
    0.58
    Americ
    0.58
    ]."
    0.58
     era
    0.57
    %).
    0.57
    Activations Density 1.403%

    No Known Activations