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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. 11-RES-JB
    11. 144
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    Explanations

    different ways to accomplish something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of searching for solutions or methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aredevil
    -0.63
    emale
    -0.57
    oxide
    -0.57
    ignt
    -0.56
    vertisement
    -0.55
    amaz
    -0.55
    qqa
    -0.54
    hyde
    -0.54
    FLAG
    -0.54
    ocado
    -0.54
    POSITIVE LOGITS
     forward
    1.06
     to
    0.94
     around
    0.89
    forward
    0.86
     whereby
    0.81
     of
    0.80
    fare
    0.77
    ward
    0.74
     forwards
    0.73
    finding
    0.72
    Activations Density 0.046%

    No Known Activations