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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. 2-RES-JB
    11. 6831
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    INDEX
    Explanations

    words related to the process of purification or elimination

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of processing or transformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aver
    -0.71
    bie
    -0.70
    LV
    -0.69
    arers
    -0.68
    bies
    -0.68
     Carth
    -0.67
    arag
    -0.63
     magnitude
    -0.61
    atari
    -0.61
    anners
    -0.60
    POSITIVE LOGITS
    inate
    1.02
    ysis
    0.91
    inated
    0.90
    rontal
    0.86
    inates
    0.83
    ination
    0.82
    htaking
    0.80
    itial
    0.79
    irect
    0.78
    xual
    0.77
    Activations Density 0.019%

    No Known Activations