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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. 8-RES-JB
    11. 6485
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    Explanations

    words related to sports and specific sports figures

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with sports teams and their performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iliary
    -0.67
    hran
    -0.66
    NetMessage
    -0.66
    76561
    -0.63
    shapeshifter
    -0.63
    IAS
    -0.60
    ryu
    -0.59
    NESS
    -0.58
     Kus
    -0.58
    }}}
    -0.57
    POSITIVE LOGITS
    oxide
    0.91
    ĪĴ
    0.74
    asion
    0.71
    lux
    0.64
     Noise
    0.64
     flakes
    0.63
     Acquisition
    0.63
    vertisement
    0.62
    ications
    0.61
    ondo
    0.61
    Activations Density 0.084%

    No Known Activations