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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. 1-RES-JB
    11. 20853
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    Explanations

    mentions or references to audiences

    oai_token-act-pair · gpt-3.5-turbo

    references to audiences in the context of media and entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ces
    -0.76
    ced
    -0.67
    wrong
    -0.63
    mine
    -0.61
     partial
    -0.60
    rab
    -0.59
    na
    -0.59
    redo
    -0.58
    arel
    -0.58
     barren
    -0.58
    POSITIVE LOGITS
     audiences
    1.34
     audience
    0.98
    ÃįÃį
    0.90
     premie
    0.88
    atform
    0.87
    goers
    0.84
    eers
    0.81
     guiActiveUn
    0.81
    atically
    0.80
     viewers
    0.76
    Activations Density 0.006%

    No Known Activations