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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. 3-RES-JB
    11. 17682
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    Explanations

    phrases related to being staffed or chaired by someone or being physically occupied by people

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to manned activities or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rent
    -0.85
    arate
    -0.78
    une
    -0.76
    dylib
    -0.69
    Fine
    -0.69
     IMAGES
    -0.69
    actionDate
    -0.68
    NF
    -0.68
     Nunes
    -0.66
    Sham
    -0.66
    POSITIVE LOGITS
     manned
    1.17
     captcha
    0.86
     endeavour
    0.79
    ¯¯¯¯¯¯¯¯
    0.73
     spaceship
    0.71
    nesday
    0.70
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.70
    tsky
    0.68
     revolution
    0.66
     continents
    0.66
    Activations Density 0.017%

    No Known Activations