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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. 7906
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    Explanations

    phrases related to various types of computer drives

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of drives, specifically related to technology and vehicles

    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
     Seym
    -1.03
    ileaks
    -0.83
    icipated
    -0.74
     truce
    -0.70
     Lumpur
    -0.69
    oco
    -0.67
    orically
    -0.67
    abad
    -0.66
    iege
    -0.64
    ambo
    -0.63
    POSITIVE LOGITS
    away
    0.94
    train
    0.93
    aways
    0.79
    Drive
    0.77
    haw
    0.76
    back
    0.75
    hardt
    0.73
    drive
    0.71
    bike
    0.71
    driving
    0.70
    Activations Density 0.027%

    No Known Activations