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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. 6-RES-JB
    11. 7766
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    Explanations

    references to achievement or recognition, such as podium finishes or thrones

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive standings or awards in a context related to podium finishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wonderland
    -0.74
    nery
    -0.69
    alg
    -0.69
    ãģ¦
    -0.68
    nie
    -0.66
    thia
    -0.66
     Wass
    -0.65
    yang
    -0.63
    ãĤī
    -0.63
    ramid
    -0.62
    POSITIVE LOGITS
     podium
    1.06
     speeches
    0.84
    olicy
    0.80
     throne
    0.78
    mast
    0.78
     pedest
    0.77
     floor
    0.76
    tops
    0.75
    itzer
    0.73
    ilion
    0.73
    Activations Density 0.026%

    No Known Activations