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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. 22953
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    Explanations

    terms related to medical conditions, especially those related to the muscular and ocular systems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical conditions and biological concepts

    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
    MET
    -0.81
    IR
    -0.78
    soType
    -0.78
    OSP
    -0.74
    govtrack
    -0.74
    WP
    -0.71
    NPR
    -0.71
    ISO
    -0.70
    CVE
    -0.68
    NR
    -0.66
    POSITIVE LOGITS
    ity
    0.89
     Sabha
    0.83
    roleum
    0.82
    tarian
    0.79
    ulously
    0.78
    jriwal
    0.77
    theless
    0.75
    hester
    0.73
     Forces
    0.73
     Pradesh
    0.72
    Activations Density 0.051%

    No Known Activations