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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21935
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values or quantities referenced in a document

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

    No Comments

    Negative Logits
    FTWARE
    -0.80
    alpha
    -0.67
    aceutical
    -0.65
    powder
    -0.65
    Tube
    -0.63
     thereof
    -0.63
    916
    -0.59
    SHARE
    -0.59
    tools
    -0.58
    hops
    -0.57
    POSITIVE LOGITS
     least
    1.14
    mosp
    0.99
    hens
    0.92
    kinson
    0.90
    chieve
    0.87
    ention
    0.82
    las
    0.82
    roph
    0.80
     times
    0.80
    onement
    0.78
    Activations Density 0.093%

    No Known Activations