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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. 3-RES-JB
    11. 15898
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    INDEX
    Explanations

    phrases related to consumption or eating

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "consumed" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pon
    -0.70
     exoner
    -0.66
    organ
    -0.60
     organizing
    -0.60
    sighted
    -0.59
    AIDS
    -0.56
    egal
    -0.56
     Mous
    -0.56
    called
    -0.56
     whistleblower
    -0.56
    POSITIVE LOGITS
    itures
    1.05
    iture
    1.01
     habits
    0.90
    umes
    0.82
     consumes
    0.79
    omics
    0.77
     consumed
    0.77
     consumption
    0.76
    iencies
    0.75
     consume
    0.75
    Activations Density 0.011%

    No Known Activations