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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. 6-RES-JB
    11. 15057
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    various types of "service" references, particularly related to technology and online platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uran
    -0.83
    sty
    -0.76
    iary
    -0.76
    umping
    -0.69
    ivil
    -0.69
    aundering
    -0.69
    ean
    -0.68
    osta
    -0.68
    Filename
    -0.67
    izophren
    -0.65
    POSITIVE LOGITS
     provider
    1.17
     Provider
    1.13
     providers
    1.10
     outage
    0.84
     Provided
    0.82
     acad
    0.77
     rendered
    0.74
    ABLE
    0.73
    ability
    0.72
     Employees
    0.71
    Activations Density 0.037%

    No Known Activations