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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. 7100
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    Explanations

    phrases related to things that are difficult to understand or not widely known

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obscurity and complexity

    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
    Demand
    -0.83
    tten
    -0.75
    ds
    -0.74
    thood
    -0.73
    hao
    -0.72
    OHN
    -0.71
    hner
    -0.70
    owitz
    -0.69
    tsky
    -0.69
    agree
    -0.68
    POSITIVE LOGITS
    ly
    1.11
    worldly
    0.82
    ities
    0.81
    ively
    0.80
     recess
    0.77
     obscure
    0.72
     workings
    0.70
    uously
    0.70
    ulously
    0.70
    ingly
    0.70
    Activations Density 0.036%

    No Known Activations