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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. 19707
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    Explanations

    phrases related to openness and receptiveness

    oai_token-act-pair · gpt-3.5-turbo

    references to openness and inclusivity

    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
    ridor
    -0.75
    illac
    -0.68
    lycer
    -0.67
    ulia
    -0.67
    STON
    -0.66
    utical
    -0.66
    eret
    -0.66
    inois
    -0.63
    itled
    -0.62
    atown
    -0.61
    POSITIVE LOGITS
     anything
    1.20
     any
    1.18
     ANY
    1.14
     whenever
    1.11
     deviations
    1.10
     anyone
    1.08
     whatever
    1.07
     anytime
    1.06
    anything
    1.05
     slightest
    1.03
    Activations Density 1.190%

    No Known Activations