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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. 7-RES-JB
    11. 21381
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    Explanations

    instances of receiving praise or approval

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to physical gestures or actions of recognition and approval

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     observable
    -0.65
    aware
    -0.64
     sear
    -0.60
    pak
    -0.59
    ouched
    -0.58
    JB
    -0.58
     depress
    -0.57
     appliance
    -0.57
     Yamato
    -0.56
    swick
    -0.56
    POSITIVE LOGITS
     choice
    0.97
    ãĥīãĥ©
    0.87
     choose
    0.82
     decide
    0.77
     choices
    0.75
    choice
    0.74
    perty
    0.73
     choosing
    0.73
    âĢ¢âĢ¢
    0.71
    win
    0.71
    Activations Density 0.613%

    No Known Activations