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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. 3823
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    Explanations

    expressions of strong personal liking or approval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal preference and affection

    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
    MRI
    -0.77
    uthor
    -0.76
    pter
    -0.74
    ailable
    -0.73
    VI
    -0.72
     Inquiry
    -0.69
    Wr
    -0.68
    ItemThumbnailImage
    -0.67
    iseum
    -0.67
    aval
    -0.66
    POSITIVE LOGITS
     idea
    0.96
     dearly
    0.74
     guts
    0.74
    iets
    0.66
     scenery
    0.65
     variety
    0.65
     spont
    0.64
     concept
    0.63
     simplicity
    0.63
     uncond
    0.62
    Activations Density 0.156%

    No Known Activations