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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. 7508
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    Explanations

    keywords related to television shows or media productions

    oai_token-act-pair · gpt-3.5-turbo

    references to television shows

    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

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    Negative Logits
     solitary
    -0.68
     saline
    -0.63
     Aval
    -0.63
     STATES
    -0.62
     annexed
    -0.61
    illard
    -0.61
    illet
    -0.59
     Pastebin
    -0.59
     Nest
    -0.59
    ntil
    -0.58
    POSITIVE LOGITS
    biz
    1.58
    runners
    1.56
    runner
    1.50
    manship
    1.35
    mable
    1.17
    downs
    1.11
    room
    1.10
    case
    1.07
    rooms
    1.05
    girls
    1.03
    Activations Density 0.045%

    No Known Activations