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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. 10-RES-JB
    11. 6486
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    Explanations

    numeric values or mathematical expressions

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to configuration or settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idelines
    -0.75
    anooga
    -0.66
     Churchill
    -0.63
     Chancellor
    -0.63
     grievance
    -0.62
     Intelligent
    -0.62
     Prometheus
    -0.61
     Attribution
    -0.61
     antitrust
    -0.61
     Career
    -0.60
    POSITIVE LOGITS
    0000000
    1.36
    000000
    1.36
    00000000
    1.27
    0000000000000000
    1.24
    0000
    1.20
    dfx
    1.16
    00000
    1.12
    9999
    1.10
    px
    1.09
    6666
    0.98
    Activations Density 0.067%

    No Known Activations