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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. 9-RES-JB
    11. 23798
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    place
    -0.70
    meat
    -0.69
    nces
    -0.64
    cars
    -0.63
    fare
    -0.63
    forward
    -0.63
    vir
    -0.62
    nu
    -0.62
    pter
    -0.62
    ndra
    -0.62
    POSITIVE LOGITS
    ive
    0.73
    ived
    0.67
    anasia
    0.67
    ives
    0.65
    orney
    0.65
    des
    0.64
     assisting
    0.64
     assist
    0.64
    assisted
    0.63
    icho
    0.61
    Activations Density 0.047%

    No Known Activations