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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. 13848
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    Explanations

    proper names, particularly the name "Glen"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Glen" and related names or places

    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
    į
    -0.77
    RN
    -0.67
    inx
    -0.66
     diaper
    -0.66
     subp
    -0.65
    ainment
    -0.63
    ©
    -0.62
    agic
    -0.60
    µ
    -0.60
    hip
    -0.60
    POSITIVE LOGITS
    coe
    1.16
    forth
    1.00
    ned
    0.91
    vir
    0.90
    clair
    0.83
    iths
    0.83
    cil
    0.83
    arios
    0.82
    pei
    0.79
    felt
    0.79
    Activations Density 0.093%

    No Known Activations