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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. 3-RES-JB
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    Explanations

    adjectives related to impactful or significant events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "dramatic" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Ĥ¬
    -0.79
    lected
    -0.71
    ©¶æ
    -0.71
    missions
    -0.71
    claimer
    -0.70
    spring
    -0.70
    etts
    -0.69
    ossier
    -0.68
    yer
    -0.68
    cellent
    -0.67
    POSITIVE LOGITS
     earthqu
    0.79
     contrasts
    0.78
     leaps
    0.77
     dramatic
    0.75
     amounts
    0.73
     departure
    0.73
     swings
    0.73
    aneously
    0.72
     highs
    0.72
     rendition
    0.72
    Activations Density 0.018%

    No Known Activations