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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. 24529
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    Explanations

    words related to the start or beginning of activities or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the performance and struggles of teams or individuals in competitions

    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
    relevant
    -0.67
     rods
    -0.64
    seless
    -0.63
     knots
    -0.63
    ...]
    -0.63
    limits
    -0.62
    ipedia
    -0.61
     Zone
    -0.61
    osher
    -0.61
     permission
    -0.61
    POSITIVE LOGITS
     adversity
    0.83
     performance
    0.81
     comeback
    0.80
    enture
    0.80
     rebound
    0.80
     highs
    0.75
     performances
    0.75
     bounce
    0.75
     lows
    0.73
     lately
    0.71
    Activations Density 0.329%

    No Known Activations