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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. 6-RES-JB
    11. 13708
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    INDEX
    Explanations

    mentions of viewers

    oai_token-act-pair · gpt-3.5-turbo

    references to the audience or viewers of television content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alz
    -0.69
     Bain
    -0.68
     Rover
    -0.66
    ulic
    -0.63
     Shotgun
    -0.62
     communist
    -0.61
    milo
    -0.59
     contingency
    -0.59
     Scrib
    -0.59
     Surgery
    -0.59
    POSITIVE LOGITS
     viewers
    0.91
     tuned
    0.88
     viewership
    0.87
    hip
    0.77
    erv
    0.77
     wat
    0.77
    asers
    0.77
    iences
    0.76
     tuning
    0.76
    rak
    0.74
    Activations Density 0.022%

    No Known Activations