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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. 12-RES-JB
    11. 4719
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    Explanations

    words related to personal experiences or storytelling

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases that include the word "in" with varying frequency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     Rohing
    -0.57
    AAF
    -0.56
    SPONSORED
    -0.55
     implanted
    -0.54
     looms
    -0.54
     depended
    -0.53
     exploited
    -0.53
     entrusted
    -0.52
    MpServer
    -0.51
     endors
    -0.51
    POSITIVE LOGITS
     fact
    1.28
     retrospect
    1.24
     hindsight
    1.23
     fairness
    1.19
    juries
    1.13
    cluding
    1.08
    advert
    1.06
    sofar
    1.04
     truth
    1.00
    jury
    1.00
    Activations Density 0.141%

    No Known Activations