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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. 2-RES-JB
    11. 16094
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    Explanations

    words related to drawing attention or focus

    oai_token-act-pair · gpt-3.5-turbo

    terms related to attention and intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

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    Negative Logits
     Mehran
    -0.84
    accompan
    -0.68
     mountains
    -0.65
     halves
    -0.65
     crest
    -0.63
    minecraft
    -0.61
     winter
    -0.61
    senal
    -0.60
     glac
    -0.59
     constituent
    -0.59
    POSITIVE LOGITS
    ention
    0.90
    edly
    0.88
    lessly
    0.87
    ibility
    0.86
    ed
    0.86
    mental
    0.82
    ership
    0.80
    naire
    0.80
    icit
    0.80
    less
    0.80
    Activations Density 0.008%

    No Known Activations