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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. 3-RES-JB
    11. 16794
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    INDEX
    Explanations

    references to shipments or deliveries of goods

    oai_token-act-pair · gpt-3.5-turbo

    references to shipments and deliveries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pton
    -0.71
    bered
    -0.70
    ulton
    -0.65
    sonian
    -0.65
    bre
    -0.64
    pmwiki
    -0.63
    stood
    -0.62
    bern
    -0.62
    soft
    -0.60
    aldi
    -0.59
    POSITIVE LOGITS
     shipments
    1.14
     shipment
    1.00
    andise
    0.81
    uggest
    0.79
     shipped
    0.76
     destined
    0.76
     deliveries
    0.75
    wagon
    0.75
     merchandise
    0.75
     receipts
    0.72
    Activations Density 0.023%

    No Known Activations