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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. 3958
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    Explanations

    references to the media

    oai_token-act-pair · gpt-3.5-turbo

    references to the media

    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
    vasive
    -0.70
    adian
    -0.69
    erville
    -0.68
     Phi
    -0.67
    vironment
    -0.67
    ta
    -0.66
    ajor
    -0.65
     Sap
    -0.64
    abouts
    -0.63
    bats
    -0.63
    POSITIVE LOGITS
     outlets
    1.16
    eval
    1.11
     outlet
    1.01
     mog
    0.88
    wiki
    0.86
     plurality
    0.83
     media
    0.82
     circus
    0.81
     literacy
    0.80
     advis
    0.80
    Activations Density 0.030%

    No Known Activations