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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. 8320
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    INDEX
    Explanations

    expressions of emotions and opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment or surprise

    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
    Ü
    -0.76
    rones
    -0.74
     pione
    -0.73
    Favorite
    -0.68
    .?
    -0.68
    Plus
    -0.67
    Scroll
    -0.66
    kee
    -0.65
     å¤
    -0.64
    Interstitial
    -0.63
    POSITIVE LOGITS
     "...
    0.81
     Canaver
    0.77
     Manafort
    0.75
     suspending
    0.74
     Grassley
    0.71
     Trump
    0.71
     "'
    0.68
     Tillerson
    0.68
     Ivanka
    0.67
     Stephenson
    0.67
    Activations Density 0.506%

    No Known Activations