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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. 3-RES-JB
    11. 9360
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    Explanations

    terms related to forensic analysis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to forensic science and investigation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.86
    unin
    -0.86
    Reilly
    -0.79
    rir
    -0.77
    Mos
    -0.72
    Pac
    -0.69
    frey
    -0.69
    Els
    -0.68
    Spoiler
    -0.67
    Hop
    -0.66
    POSITIVE LOGITS
    nsic
    0.92
     examination
    0.84
    nsics
    0.83
     forensic
    0.79
     examinations
    0.77
     laboratories
    0.76
    abilia
    0.76
    geoning
    0.74
    wcsstore
    0.73
     pathology
    0.72
    Activations Density 0.006%

    No Known Activations