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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. 7-RES-JB
    11. 14691
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    Explanations

    phrases containing specific technical terminology or instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to techniques or methods described in detail

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ococ
    -0.78
    ctors
    -0.74
    ricular
    -0.70
    andom
    -0.70
     lasted
    -0.68
    ospace
    -0.67
    uries
    -0.62
    ribute
    -0.61
    veland
    -0.61
    illi
    -0.60
    POSITIVE LOGITS
     above
    1.42
    above
    1.16
     below
    1.07
     earlier
    1.03
    mentioned
    1.01
    below
    1.01
     mentioned
    1.00
     supra
    0.95
     afore
    0.93
     subparagraph
    0.93
    Activations Density 0.715%

    No Known Activations