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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. 3451
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    Explanations

    references to the concept of time

    oai_token-act-pair · gpt-3.5-turbo

    references to time management and the availability of time

    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
    ramid
    -0.90
    riad
    -0.75
    ards
    -0.67
    LCS
    -0.66
    qqa
    -0.62
    chant
    -0.61
    ourt
    -0.60
    ailing
    -0.59
    ince
    -0.58
    ettings
    -0.58
    POSITIVE LOGITS
    frames
    1.05
     elapsed
    0.99
     allotted
    0.96
     consuming
    0.92
     spent
    0.90
     constraints
    0.88
    outs
    0.84
     periods
    0.84
    consuming
    0.83
     lapse
    0.82
    Activations Density 0.063%

    No Known Activations