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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
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    INDEX
    Explanations

    mentions of whistleblowing or related actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "whistle" and its variations

    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
    arya
    -0.74
    ggles
    -0.74
    itating
    -0.70
    yrinth
    -0.68
    ivan
    -0.68
    itates
    -0.67
    ivia
    -0.67
    oult
    -0.67
    nutrition
    -0.63
    itate
    -0.63
    POSITIVE LOGITS
     whistle
    1.21
    dropping
    0.94
     whist
    0.88
    keeper
    0.80
    glers
    0.78
    backs
    0.75
     blew
    0.72
    eworks
    0.72
    bler
    0.71
     blown
    0.71
    Activations Density 0.008%

    No Known Activations