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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 7533
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    Explanations

    locations and time references

    oai_token-act-pair · gpt-3.5-turbo

    locations and references to specific places or settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fundament
    -0.61
    auts
    -0.55
     epit
    -0.54
    ollah
    -0.54
     Qi
    -0.53
    ãĥĥãĥĪ
    -0.53
    ãĥ«
    -0.52
     bitters
    -0.52
     mosaic
    -0.52
     ensued
    -0.52
    POSITIVE LOGITS
     lookout
    0.76
     awhile
    0.75
    ournals
    0.70
    adj
    0.67
    elight
    0.66
     somewhere
    0.65
     waiting
    0.64
    alert
    0.64
     myself
    0.64
     illegally
    0.64
    Activations Density 0.527%

    No Known Activations