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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. 10-RES-JB
    6. 9016
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    daq
    -0.85
    é¾
    -0.84
    atican
    -0.81
    edin
    -0.81
    beat
    -0.80
    aan
    -0.77
    rose
    -0.77
    alan
    -0.74
    soDeliveryDate
    -0.74
    ouf
    -0.74
    POSITIVE LOGITS
     detecting
    1.47
     storing
    1.38
     extracting
    1.30
     determining
    1.29
     accessing
    1.27
     managing
    1.24
     converting
    1.22
     generating
    1.20
     assessing
    1.20
     locating
    1.19
    Activations Density 0.129%

    No Known Activations