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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. 9-RES-JB
    11. 3172
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    Explanations

    data related to numbers or quantities

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and their associated contexts in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dragonbound
    -0.70
    uts
    -0.70
    omy
    -0.70
    },{"
    -0.69
    lass
    -0.69
    ugh
    -0.66
    infeld
    -0.66
    bye
    -0.66
    maxwell
    -0.65
    NK
    -0.64
    POSITIVE LOGITS
     being
    1.46
     exception
    1.31
     seeming
    1.28
     preferring
    1.27
     needing
    1.22
     having
    1.21
     becoming
    1.20
     appearing
    1.20
     exceptions
    1.19
     costing
    1.16
    Activations Density 0.594%

    No Known Activations