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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. 14495
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    Explanations

    numerical mentions related to time or quantity

    oai_token-act-pair · gpt-3.5-turbo

    key details and roles related to leadership and responsibility

    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
     oneself
    -0.86
    È
    -0.85
    adish
    -0.81
    ibly
    -0.78
    cair
    -0.75
    uador
    -0.73
    ones
    -0.68
    stad
    -0.67
    ardless
    -0.67
     myself
    -0.67
    POSITIVE LOGITS
     woes
    1.01
    soDeliveryDate
    0.92
     cousin
    0.86
     counterpart
    0.72
     predicament
    0.71
     counterparts
    0.69
     foray
    0.69
     Shine
    0.67
     holdings
    0.66
     demise
    0.65
    Activations Density 0.690%

    No Known Activations