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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. 9801
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    INDEX
    Explanations

    mentions of financial investments or decisions to allocate resources

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to investment activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
     Blaz
    -0.70
     Gemini
    -0.68
    apple
    -0.67
    runners
    -0.66
    BUR
    -0.65
     Machina
    -0.64
    Problem
    -0.64
    âĶĢ
    -0.63
    ban
    -0.62
    Cold
    -0.62
    POSITIVE LOGITS
    itures
    1.21
    iture
    1.18
    igate
    1.04
    igating
    0.87
    atively
    0.87
    ativity
    0.85
    ayers
    0.82
    igated
    0.81
    iment
    0.81
     banker
    0.81
    Activations Density 0.031%

    No Known Activations