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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. 2-RES-JB
    11. 14842
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    Explanations

    images and mentions of microscopes

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of microscopes and microscopic observations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mine
    -0.72
    axe
    -0.71
    cknow
    -0.70
    unte
    -0.69
    ãĤ´
    -0.67
    ossip
    -0.66
     piping
    -0.64
     reperto
    -0.63
     corrid
    -0.62
    estone
    -0.61
    POSITIVE LOGITS
    atic
    0.85
    heses
    0.78
    acle
    0.78
    sonian
    0.77
     Probe
    0.76
    OLOGY
    0.74
     zo
    0.74
    hesis
    0.74
     microscope
    0.73
    ulously
    0.71
    Activations Density 0.018%

    No Known Activations