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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. 24007
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    Explanations

    phrases discussing the evaluation of various measures or methods

    oai_token-act-pair · gpt-3.5-turbo

    discussions about subjective assessments and critiques of merit

    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
    è¦ļéĨĴ
    -0.85
    ewitness
    -0.71
    ufact
    -0.71
    oppable
    -0.71
     TRANS
    -0.70
    ricane
    -0.69
    amac
    -0.69
    panic
    -0.69
    mega
    -0.67
    asus
    -0.67
    POSITIVE LOGITS
     deft
    1.01
     disingen
    0.98
     privile
    0.96
     methodological
    0.94
     rhetorical
    0.93
     illuminating
    0.92
     detract
    0.90
     editors
    0.88
     unavoid
    0.87
     omission
    0.86
    Activations Density 0.687%

    No Known Activations