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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. 11336
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    Explanations

    descriptions related to location and events

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating location or context

    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
     accordingly
    -0.84
    FTWARE
    -0.80
    ONEY
    -0.77
    çİĭ
    -0.76
    DERR
    -0.70
    Whereas
    -0.68
    Rather
    -0.67
     [*
    -0.66
    uyomi
    -0.65
     therein
    -0.65
    POSITIVE LOGITS
     nutshell
    0.95
     Seasons
    0.70
     Sight
    0.62
     Hearth
    0.62
     Ages
    0.61
     MFT
    0.61
     Trailer
    0.61
    ises
    0.59
     Shore
    0.58
     Rocks
    0.58
    Activations Density 0.421%

    No Known Activations