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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. 9-RES-JB
    11. 23911
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    Explanations

    actions or strategies related to maximizing or minimizing something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to maximizing or minimizing effectiveness or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    masters
    -0.69
    gob
    -0.67
    ridge
    -0.67
    kok
    -0.66
    ãĥĹ
    -0.65
    tumblr
    -0.64
    rael
    -0.64
    dayName
    -0.63
    ģĸ
    -0.63
     solidly
    -0.62
    POSITIVE LOGITS
     inconvenience
    0.96
     effectiveness
    0.94
     inconven
    0.94
    nesota
    0.93
     amounts
    0.90
     damage
    0.86
    imal
    0.86
     disruption
    0.85
     impact
    0.85
     amount
    0.84
    Activations Density 0.057%

    No Known Activations