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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. 0-RES-JB
    11. 11761
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    Explanations

    phrases expressing annoyance or frustration

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bothered" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sie
    -0.67
    lay
    -0.61
     Cap
    -0.61
     Gig
    -0.60
    ie
    -0.59
    cy
    -0.58
     transportation
    -0.58
     Es
    -0.58
    IG
    -0.58
     Ferr
    -0.57
    POSITIVE LOGITS
     bothered
    3.81
     bothers
    2.13
     bothering
    1.58
     annoyed
    1.39
     bother
    1.30
     angered
    1.26
     amused
    1.20
     puzzled
    1.19
     offended
    1.18
     pissed
    1.14
    Activations Density 0.007%

    No Known Activations