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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23672
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    Explanations

    instances of high emotional intensity expressed as an adverb emphasizing the speaker's feelings

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers or adverbs that indicate strong emotions or states of being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occurs
    -0.76
     originate
    -0.71
    ulence
    -0.70
    glers
    -0.69
     undermines
    -0.68
     lasts
    -0.68
     arises
    -0.68
     derives
    -0.67
     translates
    -0.67
     predicate
    -0.66
    POSITIVE LOGITS
     aware
    1.17
     thankful
    1.14
     glad
    1.12
     proud
    1.09
     fortunate
    1.06
     lucky
    1.05
     happy
    1.01
     grateful
    1.01
     afraid
    1.00
     wondering
    0.98
    Activations Density 0.297%

    No Known Activations