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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. 4-RES-JB
    11. 18545
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    Explanations

    phrases related to physical ailments or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disability and related societal topics

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

    No Comments

    Negative Logits
    hiro
    -0.78
    ãĤ£
    -0.70
    horn
    -0.68
    iting
    -0.68
     Mara
    -0.67
    ++++++++++++++++
    -0.66
    ãĥ£
    -0.66
     Mandal
    -0.65
    ãĥ©ãĥ³
    -0.65
    mble
    -0.65
    POSITIVE LOGITS
     parap
    1.16
    olicy
    0.96
    ronics
    0.92
    antry
    0.89
    rites
    0.88
    olitical
    0.83
    olitics
    0.80
    gear
    0.80
    urch
    0.79
    forts
    0.76
    Activations Density 0.021%

    No Known Activations