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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. 24393
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    Explanations

    phrases related to social interactions and responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negative assessments or criticisms related to organizations or circumstances

    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
    Nap
    -0.67
     Fug
    -0.67
     Powered
    -0.64
     Mous
    -0.64
     Magn
    -0.61
    Magn
    -0.60
    ottenham
    -0.58
     Assist
    -0.57
     ---
    -0.56
     <!--
    -0.56
    POSITIVE LOGITS
    ĸļ
    0.79
    onia
    0.69
    dar
    0.61
    uana
    0.60
    xual
    0.59
    Closure
    0.59
    ateral
    0.59
    reated
    0.58
    ually
    0.58
    Gender
    0.57
    Activations Density 0.867%

    No Known Activations