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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. 0-RES-JB
    11. 6483
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    Explanations

    phrases related to sports events or competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to the FA Cup

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inding
    -0.71
    Transform
    -0.71
     Malk
    -0.66
    artz
    -0.65
    vr
    -0.65
     divid
    -0.64
    rawler
    -0.63
     Sheldon
    -0.63
    ciating
    -0.62
     Rack
    -0.62
    POSITIVE LOGITS
     FA
    3.95
    FA
    2.34
     FI
    1.19
     BA
    1.18
     ACC
    1.17
     DA
    1.16
     UEFA
    1.14
     FAC
    1.13
     HA
    1.12
     FAM
    1.12
    Activations Density 0.011%

    No Known Activations