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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. 22636
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    Explanations

    images or photographs mentioned in text descriptions

    oai_token-act-pair · gpt-3.5-turbo

    instances of individuals or groups in visual contexts or photographs

    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
     accordingly
    -0.66
    conom
    -0.66
     insure
    -0.65
    etheless
    -0.65
     Ratings
    -0.65
    æ©Ł
    -0.65
    volent
    -0.64
    ologies
    -0.63
     limits
    -0.62
     guarantees
    -0.62
    POSITIVE LOGITS
     perched
    0.79
     surrounded
    0.77
     kneeling
    0.75
     flanked
    0.73
     smiling
    0.73
     nude
    0.72
    asma
    0.72
     handcuffed
    0.71
     selfie
    0.68
     blinking
    0.68
    Activations Density 0.622%

    No Known Activations