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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. 4-RES-JB
    11. 20158
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    Explanations

    the word "wanted."

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention

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

    No Comments

    Negative Logits
    manship
    -0.74
    VERTISEMENT
    -0.71
    ses
    -0.69
    washer
    -0.69
    lish
    -0.69
    iop
    -0.69
    cheat
    -0.67
    workers
    -0.66
    authorized
    -0.65
    wikipedia
    -0.64
    POSITIVE LOGITS
     warr
    0.76
    reprene
    0.74
    ipal
    0.67
     revenge
    0.66
     permission
    0.65
    rison
    0.65
     inspiration
    0.65
     attention
    0.64
    00200000
    0.63
     applause
    0.62
    Activations Density 0.047%

    No Known Activations