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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. 11-RES-JB
    11. 12012
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    Explanations

    instances where emphasis is placed on the intensity of an attribute or action

    oai_token-act-pair · gpt-3.5-turbo

    the adverb "very" and its strong usage in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     Atmosp
    -0.68
     Hare
    -0.61
    arial
    -0.60
     Alley
    -0.59
     DRAG
    -0.58
    izational
    -0.58
     Spaces
    -0.58
    YING
    -0.58
     Aad
    -0.57
     Planet
    -0.56
    POSITIVE LOGITS
    successfully
    1.19
     accurately
    1.11
     confidently
    1.05
     wisely
    1.03
    astically
    0.96
     rightly
    0.96
     plaus
    0.95
     convinc
    0.95
     correctly
    0.94
     faithfully
    0.94
    Activations Density 0.073%

    No Known Activations