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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. 10-RES-JB
    11. 21772
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    INDEX
    Explanations

    numerical values combined with words or phrases indicative of urgency or last-minute actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of last-minute actions or decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Metatron
    -0.65
    IUM
    -0.58
     Swordsman
    -0.56
     Fein
    -0.56
    ANS
    -0.56
    ibel
    -0.54
     Patton
    -0.53
     Cah
    -0.53
     intimid
    -0.53
     rejuven
    -0.53
    POSITIVE LOGITS
    minute
    1.20
    chance
    1.14
    generation
    1.02
    century
    0.89
    mile
    0.85
    sale
    0.84
    dollar
    0.83
    second
    0.81
    mentioned
    0.81
    door
    0.79
    Activations Density 0.016%

    No Known Activations