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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. 23919
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    Explanations

    acronyms related to data analysis such as "DA"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific agency abbreviated as "DA"

    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
    falls
    -0.77
    sets
    -0.74
     Dragonbound
    -0.74
    things
    -0.73
    ãĤ¤ãĥĪ
    -0.73
    kies
    -0.69
    ments
    -0.69
    ties
    -0.68
    spection
    -0.67
    bent
    -0.67
    POSITIVE LOGITS
    ILY
    1.26
    BLE
    1.18
    VID
    1.10
    VE
    0.97
    ESH
    0.96
    ZZ
    0.95
    OTA
    0.95
    WN
    0.91
    VIS
    0.91
    Ãį
    0.90
    Activations Density 0.004%

    No Known Activations