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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. 7-RES-JB
    11. 14206
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    Explanations

    phrases related to taking something away or removing it from someone or something

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    NEWS
    -0.86
    interstitial
    -0.80
    DragonMagazine
    -0.77
    merce
    -0.68
    Ãį
    -0.68
     Cosponsors
    -0.68
    mpeg
    -0.67
    Statement
    -0.65
    Reward
    -0.65
    emetery
    -0.64
    POSITIVE LOGITS
     Palest
    0.74
     inhib
    0.72
     reins
    0.72
     altogether
    0.71
     dr
    0.70
     Lerner
    0.69
     unsuspecting
    0.66
     anybody
    0.65
     everybody
    0.64
     Nig
    0.64
    Activations Density 0.128%

    No Known Activations