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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12779
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    INDEX
    Explanations

    phrases related to actions or events

    oai_token-act-pair · gpt-3.5-turbo

    key performance metrics and evaluative phrases related to events or contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \">
    -0.58
    necessary
    -0.57
    ãģĹ
    -0.55
    ]+
    -0.55
     stimulating
    -0.55
    ãģĻ
    -0.54
    Interstitial
    -0.52
     Defendants
    -0.51
    addons
    -0.51
    akin
    -0.51
    POSITIVE LOGITS
     consisted
    1.16
     consists
    1.15
     involves
    1.14
     revolves
    1.05
     came
    1.03
     appears
    0.99
     was
    0.97
     comes
    0.97
     resides
    0.94
     arrives
    0.94
    Activations Density 0.591%

    No Known Activations