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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. 11-RES-JB
    11. 9485
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    Explanations

    words related to transportation and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals or significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     corrid
    -0.77
     convol
    -0.76
    Þ
    -0.76
     behavi
    -0.75
     pione
    -0.74
     tremend
    -0.73
     suspic
    -0.73
     Palestin
    -0.72
     vag
    -0.71
    ĺħ
    -0.70
    POSITIVE LOGITS
    aeus
    0.83
    ares
    0.77
    ae
    0.77
     Ae
    0.70
     Byrne
    0.70
    AE
    0.69
     Jae
    0.69
     Anne
    0.68
    kai
    0.68
    ARE
    0.67
    Activations Density 0.309%

    No Known Activations