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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. 1-RES-JB
    11. 14286
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    INDEX
    Explanations

    phrases prompting urgent action

    oai_token-act-pair · gpt-3.5-turbo

    mandated actions or obligations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Vish
    -0.75
    ité
    -0.74
     Baldwin
    -0.73
     Gw
    -0.71
    itar
    -0.68
    anka
    -0.67
     Kut
    -0.67
     Bhar
    -0.66
     Upton
    -0.66
     Mushroom
    -0.65
    POSITIVE LOGITS
     MUST
    1.09
    OSE
    0.95
     SHOULD
    0.94
    ELY
    0.89
    LECT
    0.89
     WATCH
    0.89
    HAEL
    0.89
    ATCH
    0.88
    Must
    0.85
    FILE
    0.84
    Activations Density 0.005%

    No Known Activations