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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. 3667
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    Explanations

    phrases or words related to removal or disappearance

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to washing or removal

    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
     latitude
    -0.78
    oka
    -0.78
    eele
    -0.74
    NEY
    -0.74
    ZI
    -0.73
    BALL
    -0.73
    ifestyle
    -0.73
    QU
    -0.72
    WAY
    -0.70
    ICAN
    -0.70
    POSITIVE LOGITS
     spills
    0.86
     spilled
    0.84
     excess
    0.77
     traces
    0.76
     leftover
    0.73
     corpses
    0.73
     layers
    0.71
     grains
    0.71
     accumulated
    0.71
     glaciers
    0.70
    Activations Density 0.184%

    No Known Activations