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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of a sports team named "Leafs," potentially referring to the Toronto Maple Leafs in hockey

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Toronto Maple Leafs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    schild
    -0.68
    shell
    -0.67
    inges
    -0.67
    isites
    -0.67
    ded
    -0.67
    esters
    -0.66
    SPONSORED
    -0.65
    rex
    -0.65
    anke
    -0.64
    nels
    -0.63
    POSITIVE LOGITS
     Leafs
    1.13
     Raptors
    0.85
     FC
    0.74
     Leaf
    0.72
    mania
    0.71
     Scouts
    0.69
     defenseman
    0.69
    chedel
    0.68
    pora
    0.67
     winger
    0.67
    Activations Density 0.008%

    No Known Activations