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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. 9-RES-JB
    11. 2921
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    Explanations

    phrases related to hands-on activities or tools

    oai_token-act-pair · gpt-3.5-turbo

    references to hands-on experiences or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITAL
    -0.71
    actionDate
    -0.68
    Neigh
    -0.67
    çĶ°
    -0.66
     Shelby
    -0.65
     RAND
    -0.65
     Albion
    -0.64
     Neigh
    -0.64
     Announce
    -0.63
     è£ıç
    -0.62
    POSITIVE LOGITS
    pring
    1.30
    creen
    1.14
    ets
    1.10
    omen
    1.03
    chool
    1.00
    ingers
    0.94
    maid
    0.92
    peed
    0.91
    ome
    0.87
    handed
    0.86
    Activations Density 0.037%

    No Known Activations