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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

    mentions of specific sports teams, specifically the "Trail Blazers"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Trail Blazers" sports team

    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
    ERAL
    -0.84
    rators
    -0.78
    instein
    -0.75
    vette
    -0.72
    ento
    -0.71
    rencies
    -0.67
    lesi
    -0.66
    egal
    -0.65
    igne
    -0.64
    ulin
    -0.64
    POSITIVE LOGITS
     Blazers
    1.29
     Trail
    1.15
    bum
    0.91
     Roads
    0.81
    bridge
    0.81
    Mania
    0.81
     Riders
    0.81
    heads
    0.80
     Yards
    0.79
    thouse
    0.79
    Activations Density 0.008%

    No Known Activations