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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. 6-RES-JB
    11. 20498
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    Explanations

    phrases related to actions happening "just in time."

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of timing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uties
    -0.77
    LCS
    -0.74
    iants
    -0.72
    ramid
    -0.68
    doms
    -0.67
    ilings
    -0.62
    inet
    -0.62
    avored
    -0.62
    otally
    -0.62
    resent
    -0.60
    POSITIVE LOGITS
    trial
    0.84
    bral
    0.75
    bra
    0.68
    Sensor
    0.66
    zone
    0.66
    frame
    0.64
    memory
    0.63
    î
    0.63
    frames
    0.62
    nin
    0.62
    Activations Density 0.033%

    No Known Activations