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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. 10-RES-JB
    11. 823
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    INDEX
    Explanations

    phrases related to financial transactions or verifications

    oai_token-act-pair · gpt-3.5-turbo

    references to checks or check-ups in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hots
    -0.87
    BLE
    -0.73
    wcs
    -0.66
    velength
    -0.61
     Rend
    -0.61
    CTV
    -0.60
     FANT
    -0.59
     Passive
    -0.59
    ãĥĨãĤ£
    -0.59
    ãĥĩ
    -0.58
    POSITIVE LOGITS
    boxes
    1.19
    lists
    1.17
    points
    1.10
    er
    1.05
    book
    1.03
    box
    1.02
    ups
    1.01
    list
    1.00
    mate
    0.99
    strap
    0.98
    Activations Density 0.024%

    No Known Activations