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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. 0-RES-JB
    11. 13417
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    Explanations

    highlights entities or locations mentioned in the context

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific location or setting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Draper
    -0.69
     Brown
    -0.63
     dynamics
    -0.59
     SNAP
    -0.58
     acqu
    -0.58
     Carrie
    -0.57
     Berman
    -0.57
     Californ
    -0.56
     Gill
    -0.55
     Disc
    -0.55
    POSITIVE LOGITS
    ht
    4.69
    htar
    1.85
    HT
    1.66
    hm
    1.57
    hw
    1.52
    hn
    1.37
    hs
    1.37
    hi
    1.35
    hy
    1.34
    hend
    1.34
    Activations Density 0.008%

    No Known Activations