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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. 9710
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    Explanations

    instances where an entity expresses a desire or intention to do something

    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
    VERTISEMENT
    -0.80
    semble
    -0.79
    workers
    -0.69
    fell
    -0.68
    eding
    -0.66
    ulty
    -0.65
    techn
    -0.64
    cision
    -0.61
    chron
    -0.61
    ccording
    -0.61
    POSITIVE LOGITS
    reprene
    0.81
     desperately
    0.69
    WARD
    0.69
     revenge
    0.68
     attention
    0.66
    anamo
    0.66
     to
    0.64
     applause
    0.63
     pus
    0.63
    htar
    0.62
    Activations Density 0.070%

    No Known Activations