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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. 0-RES-JB
    11. 13336
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    Explanations

    monetary values

    oai_token-act-pair · gpt-3.5-turbo

    references to monetary amounts or financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     melanch
    -0.65
     afore
    -0.64
     offender
    -0.63
     pas
    -0.61
     reign
    -0.61
     correctness
    -0.61
     stare
    -0.61
     beh
    -0.61
     ori
    -0.59
     affairs
    -0.59
    POSITIVE LOGITS
    500
    3.44
    600
    2.42
    400
    2.41
    300
    2.33
    700
    2.31
    800
    2.27
    5000
    2.22
    750
    2.19
    250
    2.13
    900
    2.10
    Activations Density 0.018%

    No Known Activations