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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. 7-RES-JB
    11. 7350
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    INDEX
    Explanations

    short phrases indicating urgency or importance

    oai_token-act-pair · gpt-3.5-turbo

    urgent calls to action or requests for engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ielding
    -0.81
    ield
    -0.68
    urden
    -0.67
    usher
    -0.65
    lig
    -0.65
    verage
    -0.64
     thereby
    -0.64
    evidence
    -0.63
    orthy
    -0.63
    itored
    -0.63
    POSITIVE LOGITS
     shitty
    0.88
     fuckin
    0.82
     crappy
    0.79
     fucking
    0.77
     weird
    0.74
     dudes
    0.70
     freaking
    0.69
     Pinball
    0.68
     shit
    0.67
     Zombies
    0.67
    Activations Density 1.614%

    No Known Activations