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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. 5736
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    Explanations

    phrases expressing regret or concern over past events

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret or negative outcomes

    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
     cautioned
    -0.79
    ©¶æ¥µ
    -0.76
     WARN
    -0.73
     aware
    -0.73
     tasked
    -0.70
     sidel
    -0.69
     oversaw
    -0.68
     instructed
    -0.67
     warned
    -0.67
     expects
    -0.67
    POSITIVE LOGITS
     happen
    1.44
     happening
    1.19
     happened
    1.17
     happ
    1.12
     raining
    1.07
     occur
    1.01
     Happ
    0.96
     happens
    0.96
     snowball
    0.93
     rains
    0.88
    Activations Density 0.297%

    No Known Activations