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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. 16547
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    Explanations

    phrases expressing uncertainty or concern about the future

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing future actions or events happening

    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
     cultivating
    -0.77
     inspecting
    -0.76
    Reviewer
    -0.73
     sought
    -0.71
     reserves
    -0.71
     Dietary
    -0.69
     preferring
    -0.69
     cautioned
    -0.68
     attempting
    -0.68
     endeav
    -0.68
    POSITIVE LOGITS
     happen
    1.67
     happ
    1.19
     Happ
    1.17
     occur
    1.16
     suck
    1.06
     unfold
    1.05
     rain
    1.02
     explode
    1.00
     stink
    1.00
     happened
    0.97
    Activations Density 0.234%

    No Known Activations