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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. 18849
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    INDEX
    Explanations

    names or terms related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    patterns or sequences of letters, particularly "gu" and similar combinations

    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
    microsoft
    -0.68
    noon
    -0.65
    lass
    -0.64
    growth
    -0.62
    staking
    -0.62
    hemat
    -0.59
     Rivals
    -0.58
     Motorsport
    -0.57
     finance
    -0.57
    pool
    -0.56
    POSITIVE LOGITS
    pta
    1.21
    llah
    0.92
    irus
    0.92
    pload
    0.91
    irrel
    0.87
    ña
    0.85
    atl
    0.84
    isu
    0.82
    issance
    0.81
    illac
    0.80
    Activations Density 0.096%

    No Known Activations