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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    references to a sports team named "Blues."

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports team named "Blues."

    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
     ped
    -0.84
    stant
    -0.75
     reproductive
    -0.74
    cu
    -0.66
    lit
    -0.66
    Inst
    -0.65
    iph
    -0.65
    afer
    -0.64
     retweet
    -0.63
    nan
    -0.63
    POSITIVE LOGITS
     Blues
    4.29
     blues
    2.11
     Reds
    1.41
     Jazz
    1.33
     Sharks
    1.20
     Blue
    1.18
     Bruins
    1.18
     Saints
    1.17
     Blackhawks
    1.17
     Devils
    1.17
    Activations Density 0.024%

    No Known Activations