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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. 22917
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    Explanations

    words related to the inner parts or components of objects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to innards and various types of ores

    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
    UNCH
    -0.78
    icals
    -0.78
     Pilgrim
    -0.75
    Hack
    -0.74
    IDA
    -0.74
    Kit
    -0.73
    ucket
    -0.72
    heid
    -0.72
    Hug
    -0.71
    KA
    -0.71
    POSITIVE LOGITS
     ore
    0.83
     tremend
    0.76
    clair
    0.73
     sender
    0.70
    aleb
    0.70
    bern
    0.70
     larg
    0.69
     dens
    0.68
    oing
    0.67
    clud
    0.67
    Activations Density 0.032%

    No Known Activations