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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. 12-RES-JB
    11. 2380
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    INDEX
    Explanations

    tennis-related terms

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    specific statistics or details related to sports events

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Quantity
    -0.79
    vernment
    -0.71
    netflix
    -0.70
    ãĥĺ
    -0.68
    76561
    -0.66
    Availability
    -0.65
    soType
    -0.65
    anmar
    -0.64
    abled
    -0.63
    quickShipAvailable
    -0.63
    POSITIVE LOGITS
     Mandatory
    0.96
     against
    0.84
     during
    0.80
     preseason
    0.77
     defeated
    0.76
     vs
    0.76
     defeating
    0.74
     scrimmage
    0.72
     Cavaliers
    0.71
     Clippers
    0.70
    Activations Density 0.148%

    No Known Activations