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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. 19137
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    Explanations

    phrases related to emphasizing or highlighting specific points during communication

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of humor or irony

    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
    ngth
    -0.69
    reddits
    -0.65
    ãĥį
    -0.64
    lr
    -0.64
    riots
    -0.63
    moil
    -0.63
    clock
    -0.63
    aneers
    -0.62
    alks
    -0.62
    byss
    -0.61
    POSITIVE LOGITS
    SPONSORED
    0.90
     understatement
    0.72
    soType
    0.71
     coincidence
    0.70
    PLIED
    0.70
     suspic
    0.69
     scary
    0.67
     consolation
    0.67
     explan
    0.65
     blasphemy
    0.64
    Activations Density 0.235%

    No Known Activations