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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. 11-RES-JB
    11. 21148
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    Explanations

    phrases related to development or progress

    oai_token-act-pair · gpt-3.5-turbo

    words related to acceptance and development in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.72
     perfection
    -0.65
     fracturing
    -0.64
    IZE
    -0.63
     mechanically
    -0.62
    ISM
    -0.61
     invoking
    -0.61
     coer
    -0.60
     manual
    -0.59
     deaf
    -0.59
    POSITIVE LOGITS
    ed
    1.62
    ees
    1.36
    edly
    1.34
    ors
    1.34
    ments
    1.33
    ations
    1.30
    ership
    1.28
    ions
    1.26
    orship
    1.25
    ance
    1.24
    Activations Density 0.106%

    No Known Activations