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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. 15256
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    Explanations

    phrases related to a sequence of repeated occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to consecutive events or occurrences

    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
    ku
    -0.72
    adle
    -0.70
    yll
    -0.68
     Lauder
    -0.65
     Dmit
    -0.62
    ulet
    -0.62
    ront
    -0.61
     mur
    -0.61
     Kurd
    -0.61
    il
    -0.60
    POSITIVE LOGITS
     Compass
    0.75
    liner
    0.73
     actionGroup
    0.71
    straight
    0.71
     consecutive
    0.69
    away
    0.67
    forward
    0.66
     Calder
    0.65
    division
    0.65
     consecut
    0.64
    Activations Density 0.016%

    No Known Activations