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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. 23927
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    Explanations

    phrases urging immediate action

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of immediacy or current events

    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
     Berm
    -0.76
     resemb
    -0.65
     similarity
    -0.65
     fault
    -0.63
    andom
    -0.63
    ocious
    -0.62
     differing
    -0.61
    iosyncr
    -0.60
    mand
    -0.59
     similarities
    -0.58
    POSITIVE LOGITS
    adays
    1.24
    here
    1.12
    !,
    0.80
    heres
    0.77
    ledge
    0.75
     Lumpur
    0.71
    HI
    0.70
    !
    0.70
    rap
    0.70
    earances
    0.68
    Activations Density 0.031%

    No Known Activations