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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. 22381
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    Explanations

    references to specific types of material or substances

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of 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
    cffffcc
    -0.78
    Mand
    -0.69
    ARP
    -0.67
     Byrd
    -0.65
     Buchanan
    -0.65
    ORT
    -0.64
    IELD
    -0.64
     Pis
    -0.64
    FLAG
    -0.63
    aird
    -0.63
    POSITIVE LOGITS
    utonium
    0.96
    ized
    0.90
    anguage
    0.86
    ization
    0.84
    izes
    0.83
    ifies
    0.83
    uria
    0.81
    izations
    0.81
     liner
    0.80
    istic
    0.79
    Activations Density 0.018%

    No Known Activations