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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. 10-RES-JB
    11. 5306
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    INDEX
    Explanations

    references to specific sports player positions

    oai_token-act-pair · gpt-3.5-turbo

    football player positions and their respective rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Imperium
    -0.68
     artery
    -0.63
     Newsp
    -0.62
    osity
    -0.60
    arium
    -0.60
     ante
    -0.60
     ISPs
    -0.60
     organisers
    -0.59
     DRM
    -0.59
     Australians
    -0.58
    POSITIVE LOGITS
    s
    0.90
    OT
    0.86
    FP
    0.84
    QB
    0.81
    Bs
    0.81
    NAME
    0.79
    JR
    0.79
    GY
    0.78
    J
    0.77
    ector
    0.75
    Activations Density 0.048%

    No Known Activations