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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 6-RES-JB
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    Explanations

    the word "ultimate"

    oai_token-act-pair · gpt-3.5-turbo

    the word "ultimate" and its variations

    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
     Cosponsors
    -0.79
    ker
    -0.77
    eries
    -0.75
    rooms
    -0.73
    rosso
    -0.73
    iths
    -0.73
    then
    -0.73
    bars
    -0.72
    ohn
    -0.70
    vere
    -0.69
    POSITIVE LOGITS
     gratification
    0.90
     goal
    0.89
     embodiment
    0.88
     incarnation
    0.83
     culmination
    0.80
     obstacle
    0.76
     pinnacle
    0.75
     prize
    0.73
     fulfillment
    0.71
     solution
    0.70
    Activations Density 0.019%

    No Known Activations