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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. 5789
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    Explanations

    mentions or actions related to a bench

    oai_token-act-pair · gpt-3.5-turbo

    references to 'bench' in various contexts

    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
    natureconservancy
    -0.76
    alez
    -0.72
    tale
    -0.70
    llah
    -0.69
     Rings
    -0.66
     Dragonbound
    -0.66
    sha
    -0.64
    mber
    -0.64
    lia
    -0.63
    afort
    -0.63
    POSITIVE LOGITS
    warm
    1.01
     warrants
    0.89
    marked
    0.86
    mark
    0.83
     benches
    0.82
    lain
    0.80
    iron
    0.78
    ocks
    0.77
    top
    0.76
    OCK
    0.76
    Activations Density 0.066%

    No Known Activations