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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. 1-RES-JB
    11. 2508
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    Explanations

    phrases related to structured running programs with coaching

    oai_token-act-pair · gpt-3.5-turbo

    phrases or terms related to the structure 'SO' commonly found in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kamp
    -0.77
    ãĥĥãĥĪ
    -0.71
    mark
    -0.68
     envy
    -0.62
    hof
    -0.62
    guard
    -0.62
    child
    -0.61
    heid
    -0.61
     NCT
    -0.61
    onomic
    -0.61
    POSITIVE LOGITS
    FTWARE
    1.36
    SO
    1.16
    othe
    1.02
    FT
    0.90
    OTS
    0.88
    VER
    0.88
    BI
    0.86
    ooo
    0.86
    arin
    0.84
    IL
    0.84
    Activations Density 0.003%

    No Known Activations