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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. 1568
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    Explanations

    scientific or technical terms related to medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    words related to acute conditions or observations

    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
    ĸļ
    -0.88
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.79
     Dare
    -0.76
    hood
    -0.74
    EngineDebug
    -0.74
    wich
    -0.69
    naires
    -0.68
     guiActiveUnfocused
    -0.68
     Territories
    -0.67
     Katz
    -0.67
    POSITIVE LOGITS
    rylic
    1.36
    robat
    1.28
    oustic
    1.25
    upuncture
    1.13
    rament
    1.07
    osta
    1.05
    acia
    1.02
    celer
    1.02
    cel
    1.00
    anth
    0.98
    Activations Density 0.022%

    No Known Activations