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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. 16919
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    Explanations

    references to goods and services being exchanged or provided

    oai_token-act-pair · gpt-3.5-turbo

    mentions of goods and services in various contexts

    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
    cair
    -0.72
    NING
    -0.71
    neum
    -0.69
    adian
    -0.68
    ODE
    -0.65
    ederal
    -0.63
    arios
    -0.62
    otos
    -0.62
    raped
    -0.62
    ULAR
    -0.59
    POSITIVE LOGITS
     goods
    1.01
    loads
    0.83
    gob
    0.79
    andise
    0.76
     supplies
    0.74
     Goods
    0.73
    stores
    0.73
    washer
    0.72
     manufacturing
    0.71
     stores
    0.70
    Activations Density 0.020%

    No Known Activations