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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. 3054
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    Explanations

    specific instances of events or conditions within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cases or instances

    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
    osponsors
    -0.84
    kefeller
    -0.80
     carbohyd
    -0.74
    uesday
    -0.74
    icc
    -0.71
    ongyang
    -0.70
    uilt
    -0.69
    ailability
    -0.68
    ursday
    -0.66
    kered
    -0.65
    POSITIVE LOGITS
    ,
    0.72
    PI
    0.65
    forth
    0.65
     congratulations
    0.63
     anyway
    0.63
    pheus
    0.62
    âĢ¦)
    0.61
     anyways
    0.61
    notes
    0.61
    gency
    0.61
    Activations Density 0.040%

    No Known Activations