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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. 2-RES-JB
    11. 19880
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    INDEX
    Explanations

    mentions of media-related activities and interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to the media and its coverage in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vasive
    -0.75
     Parenthood
    -0.72
    adian
    -0.70
     Reconstruction
    -0.68
    cker
    -0.67
    thens
    -0.66
     Sap
    -0.66
    ajor
    -0.64
     Scher
    -0.63
     damn
    -0.62
    POSITIVE LOGITS
     outlets
    1.09
    eval
    1.02
     outlet
    0.95
    media
    0.92
     mog
    0.87
     media
    0.87
    Media
    0.84
    wiki
    0.81
    fax
    0.75
     plurality
    0.75
    Activations Density 0.032%

    No Known Activations