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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. 0-RES-JB
    11. 19007
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    Explanations

    names related to broadcast media

    oai_token-act-pair · gpt-3.5-turbo

    references to broadcasters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ior
    -0.64
     Phase
    -0.62
     STATES
    -0.62
     favors
    -0.59
    redits
    -0.58
    illes
    -0.58
     ¯
    -0.57
    ¯
    -0.57
     tha
    -0.57
     Magn
    -0.57
    POSITIVE LOGITS
     broadcaster
    3.76
     broadcasters
    2.44
     presenter
    1.63
     Broadcasting
    1.46
     commentator
    1.44
     announcer
    1.43
     broadcasting
    1.40
     interviewer
    1.28
     comedian
    1.25
     journalist
    1.24
    Activations Density 0.011%

    No Known Activations