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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. 1-RES-JB
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    Explanations

    words related to the sports team "Raiders"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Raiders" and "Raider" within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ablishment
    -0.72
    itia
    -0.72
    onymous
    -0.72
    mble
    -0.71
    gian
    -0.71
    ician
    -0.66
    orget
    -0.66
    iment
    -0.66
    ting
    -0.66
    eline
    -0.65
    POSITIVE LOGITS
     Raiders
    1.55
    Raid
    1.15
     Raider
    0.92
     Athletics
    0.84
    heed
    0.81
    abba
    0.78
    ModLoader
    0.78
    Jar
    0.78
     Jaguars
    0.75
    MJ
    0.74
    Activations Density 0.007%

    No Known Activations