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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. 845
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    Explanations

    the word 'audience'

    oai_token-act-pair · gpt-4-turbo

    phrases mentioning the audience

    oai_token-act-pair · gpt-3.5-turbo

    references to an audience

    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
    erald
    -0.77
    omes
    -0.69
    ced
    -0.68
    grave
    -0.66
    redo
    -0.64
     Ide
    -0.63
    cies
    -0.63
    omic
    -0.63
    ces
    -0.62
     Agric
    -0.62
    POSITIVE LOGITS
     audience
    1.02
     audiences
    0.90
    ÃįÃį
    0.84
    atics
    0.73
    goers
    0.73
    room
    0.72
    eers
    0.71
     tuning
    0.70
    atically
    0.69
     attendees
    0.69
    Activations Density 0.012%

    No Known Activations