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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. 12305
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    Explanations

    indicators of service or imprisonment

    oai_token-act-pair · gpt-3.5-turbo

    words related to military service

    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
    razil
    -0.80
    gnu
    -0.70
    vu
    -0.70
    eros
    -0.70
    arest
    -0.69
    orne
    -0.66
    peria
    -0.65
    Ĥİ
    -0.64
    seed
    -0.64
    ophe
    -0.64
    POSITIVE LOGITS
     horm
    0.77
    maid
    0.74
     Serving
    0.73
     SERV
    0.72
     served
    0.70
    iments
    0.69
     beverages
    0.69
    lyak
    0.68
     showc
    0.68
    HTTP
    0.67
    Activations Density 0.019%

    No Known Activations