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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. 9-RES-JB
    11. 13877
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    Explanations

    references to specific soccer teams, players, and matches

    oai_token-act-pair · gpt-3.5-turbo

    names and references related to Paris Saint-Germain (PSG) soccer team and its players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pod
    -0.64
     Goldberg
    -0.63
    Topic
    -0.62
    è£ħ
    -0.62
     Ramirez
    -0.60
     Lerner
    -0.59
    =/
    -0.59
    owsky
    -0.58
     AMA
    -0.58
    STEM
    -0.57
    POSITIVE LOGITS
    eches
    0.78
    ilda
    0.76
    roma
    0.72
    arde
    0.64
     mighty
    0.64
    yll
    0.64
    yz
    0.64
    izzard
    0.63
    och
    0.62
    eret
    0.62
    Activations Density 0.135%

    No Known Activations