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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. 5560
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    Explanations

    terms related to conducting inspections

    oai_token-act-pair · gpt-3.5-turbo

    terms related to inspections

    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
    Not in Any Lists

    No Comments

    Negative Logits
    peak
    -0.78
    thood
    -0.73
    idal
    -0.73
    uscript
    -0.73
    fort
    -0.68
    ---------
    -0.68
     Crimson
    -0.67
    adding
    -0.65
    theless
    -0.65
    ften
    -0.65
    POSITIVE LOGITS
     inspection
    1.18
     inspections
    0.99
     Inspection
    0.98
     inspected
    0.93
     inspecting
    0.90
     inspect
    0.88
    OLOG
    0.79
     Inspect
    0.77
     technician
    0.76
     inspector
    0.76
    Activations Density 0.012%

    No Known Activations