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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. 14928
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    Explanations

    phrases indicating a desire or intention to do something

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating desires or wants

    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
     Cheong
    -0.71
     Admir
    -0.66
    quarters
    -0.65
    wikipedia
    -0.64
    SG
    -0.62
    apt
    -0.62
    front
    -0.58
    readable
    -0.58
    kar
    -0.58
    CTV
    -0.56
    POSITIVE LOGITS
     fame
    0.67
    glers
    0.66
     conserve
    0.66
     menstru
    0.64
     wanting
    0.62
     qualify
    0.62
     warr
    0.60
    leground
    0.60
     careers
    0.60
     flock
    0.59
    Activations Density 0.188%

    No Known Activations