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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. 1-RES-JB
    11. 9086
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    Explanations

    terms related to medical conditions involving abnormal cell growth

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "oma" or related medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    balance
    -0.83
     intuitive
    -0.73
    agher
    -0.64
    ship
    -0.63
    starter
    -0.62
     mixer
    -0.62
    know
    -0.61
    irk
    -0.61
    ðĿ
    -0.61
    enser
    -0.60
    POSITIVE LOGITS
    oma
    1.53
    omas
    0.99
     Tos
    0.83
    iba
    0.80
    atis
    0.80
    ascus
    0.79
    pha
    0.79
     Karin
    0.76
    ucc
    0.72
    qua
    0.71
    Activations Density 0.005%

    No Known Activations