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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. 3-RES-JB
    11. 3614
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    Explanations

    words related to information gathering and analysis

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and words ending with "ering" or similar suffixes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Campbell
    -0.72
     Chapman
    -0.66
     Lowell
    -0.65
     Gray
    -0.65
     Wikimedia
    -0.65
     Slate
    -0.64
    cour
    -0.63
     Dresden
    -0.62
    olor
    -0.62
    ove
    -0.60
    POSITIVE LOGITS
    adesh
    0.84
    anwhile
    0.76
    awaru
    0.73
    rers
    0.73
    itance
    0.72
     eagerly
    0.72
    ilee
    0.71
    ogh
    0.70
    acle
    0.69
     charism
    0.69
    Activations Density 0.067%

    No Known Activations