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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. 4-RES-JB
    11. 19564
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    Explanations

    phrases related to sports forwards

    oai_token-act-pair · gpt-3.5-turbo

    references to sports players in forward positions

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

    No Comments

    Negative Logits
    rip
    -0.76
    chens
    -0.69
    colo
    -0.65
    riz
    -0.65
    cling
    -0.64
    lez
    -0.63
     clamp
    -0.62
    ripp
    -0.62
    wn
    -0.62
    gins
    -0.61
    POSITIVE LOGITS
    iola
    0.69
     winger
    0.68
    Ħ¢
    0.68
     forwards
    0.68
    forward
    0.68
    IUM
    0.65
     Forward
    0.65
     advoc
    0.65
     forward
    0.65
    esse
    0.64
    Activations Density 0.008%

    No Known Activations