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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. 19543
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    Explanations

    words related to military actions and operations

    oai_token-act-pair · gpt-3.5-turbo

    words related to social issues and systemic problems

    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
     showc
    -0.79
     Trader
    -0.68
     Osw
    -0.66
     upfront
    -0.65
     spoilers
    -0.62
     burg
    -0.61
     foremost
    -0.59
     Ao
    -0.59
     Faw
    -0.59
     congr
    -0.59
    POSITIVE LOGITS
    ment
    1.36
    enment
    1.26
    ement
    1.22
    ation
    1.14
    ification
    1.13
    mental
    1.13
    agement
    1.11
    ciating
    1.04
    ated
    1.04
    ATION
    1.02
    Activations Density 0.158%

    No Known Activations