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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. 4-RES-JB
    11. 2875
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    Explanations

    phrases related to procurement or obtaining goods or resources

    oai_token-act-pair · gpt-3.5-turbo

    references to essential resources or materials

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

    No Comments

    Negative Logits
    âĸ¬
    -0.83
    tein
    -0.81
    Die
    -0.76
    doms
    -0.76
    bole
    -0.75
    ayne
    -0.71
    atari
    -0.69
    spect
    -0.66
     Doodle
    -0.66
    brow
    -0.66
    POSITIVE LOGITS
     supplies
    1.14
     shortages
    0.99
     supplied
    0.92
     supply
    0.91
     shipment
    0.82
     shipments
    0.80
     deliveries
    0.79
    poons
    0.78
    leeve
    0.78
     supplying
    0.78
    Activations Density 0.017%

    No Known Activations