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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. 6-RES-JB
    11. 20456
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    INDEX
    Explanations

    phrases containing the word "concern."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to concern or contemplation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wem
    -0.68
    OHN
    -0.66
    assetsadobe
    -0.65
    TPS
    -0.64
     Bulg
    -0.62
     practicable
    -0.60
     Rover
    -0.59
     Jagu
    -0.58
    externalActionCode
    -0.57
    gypt
    -0.56
    POSITIVE LOGITS
    stant
    1.22
    ventions
    1.18
    secut
    1.16
    verted
    1.14
    verting
    1.14
    venient
    1.14
    structed
    1.13
    ventional
    1.13
    joined
    1.12
    ference
    1.11
    Activations Density 0.022%

    No Known Activations