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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. 9-RES-JB
    11. 4714
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    INDEX
    Explanations

    instances of the phrase "Studio 9"

    oai_token-act-pair · gpt-3.5-turbo

    references to film or music studios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pend
    -0.71
    mere
    -0.71
    idem
    -0.70
    abad
    -0.68
    ocaust
    -0.68
    theless
    -0.67
    bh
    -0.65
    vati
    -0.64
     constitu
    -0.64
    stal
    -0.64
    POSITIVE LOGITS
     studio
    0.92
     studios
    0.85
     apartment
    0.78
    mates
    0.76
    floor
    0.72
     floor
    0.72
     specializing
    0.71
     mates
    0.71
    yrinth
    0.70
     apartments
    0.68
    Activations Density 0.047%

    No Known Activations