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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. 3-RES-JB
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    Explanations

    mentions of the NFL team "Ravens"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Ravens football team

    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
    utterstock
    -0.78
    awaru
    -0.68
    iries
    -0.68
     explanatory
    -0.67
    aterasu
    -0.65
    ebin
    -0.65
     Kuala
    -0.64
    akespe
    -0.63
    yip
    -0.63
    iry
    -0.63
    POSITIVE LOGITS
     Ravens
    1.16
     Orioles
    1.12
     Raiders
    0.76
     Colts
    0.76
    Raven
    0.75
    nton
    0.73
     Sammy
    0.71
    claw
    0.71
     Armory
    0.70
     Bulls
    0.67
    Activations Density 0.007%

    No Known Activations