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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. 14829
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    INDEX
    Explanations

    references to software demonstrations or prototypes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "demo" and its variations

    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
    turn
    -0.78
    ophical
    -0.68
    ategory
    -0.67
    Else
    -0.67
    tesy
    -0.67
    olia
    -0.66
    luster
    -0.66
    capacity
    -0.65
    adia
    -0.65
    metic
    -0.64
    POSITIVE LOGITS
    eer
    0.88
    psey
    0.86
     reel
    0.80
     demo
    0.78
     demos
    0.78
    stration
    0.78
     tapes
    0.73
     taped
    0.73
    ery
    0.69
    ptions
    0.69
    Activations Density 0.016%

    No Known Activations