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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. 2-RES-JB
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    Explanations

    phrases related to a sports team named "Leafs"

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esters
    -0.73
    inges
    -0.72
    rex
    -0.69
    nels
    -0.65
    ded
    -0.62
    abase
    -0.62
    isites
    -0.60
    ebus
    -0.60
    shell
    -0.59
    odes
    -0.59
    POSITIVE LOGITS
     Leafs
    1.27
     Raptors
    0.84
     Leaf
    0.75
     FC
    0.73
     Sabres
    0.71
     winger
    0.70
     Scouts
    0.68
     Oilers
    0.68
     hous
    0.68
     defenseman
    0.67
    Activations Density 0.008%

    No Known Activations