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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. 8-RES-JB
    6. 4455
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    INDEX
    Explanations

    phrases describing the ability or potential of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of capability or potential across various contexts

    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
     Moz
    -0.65
     Yose
    -0.65
    cott
    -0.61
     Meyer
    -0.61
     Boots
    -0.59
     Frag
    -0.58
    bard
    -0.57
    rule
    -0.57
     Soy
    -0.57
    cot
    -0.57
    POSITIVE LOGITS
    bodied
    0.96
    nesses
    0.96
    icient
    0.89
    ¶ħ
    0.82
    ive
    0.76
     enough
    0.74
    lessly
    0.74
    itude
    0.73
    ively
    0.72
     impairment
    0.72
    Activations Density 0.032%

    No Known Activations