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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. 23968
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    Explanations

    specific mentions or instances of rankings

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of rankings

    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
     Tik
    -0.78
    icer
    -0.75
     Samar
    -0.68
    ogene
    -0.68
    gm
    -0.67
    ishly
    -0.66
    vous
    -0.65
    fitting
    -0.64
    ãĥĨãĤ£
    -0.63
    argo
    -0.63
    POSITIVE LOGITS
     rankings
    1.00
     ranking
    0.91
     Rankings
    0.89
    Rank
    0.81
     contenders
    0.80
     algorithm
    0.78
     Ranking
    0.76
    âĺħâĺħ
    0.73
     contender
    0.71
     algorithms
    0.71
    Activations Density 0.040%

    No Known Activations