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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. 11-RES-JB
    11. 17096
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    Explanations

    specific numerical values related to financial figures and statistics

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and amounts associated with various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    activ
    -0.72
    ingo
    -0.69
     srfAttach
    -0.69
    igion
    -0.68
    olph
    -0.66
    ãĤ©
    -0.66
    Commerce
    -0.65
    ogyn
    -0.64
    Newsletter
    -0.63
    apps
    -0.62
    POSITIVE LOGITS
     mark
    1.58
     threshold
    1.25
     limit
    1.20
     milestone
    1.12
     figure
    1.12
     cutoff
    1.10
     range
    1.09
     barrier
    1.07
     requirement
    1.06
     hurdle
    1.00
    Activations Density 0.206%

    No Known Activations