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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. 3386
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    Explanations

    words related to excitement or strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotions, particularly excitement and frustration

    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
     Tycoon
    -0.84
     prototypes
    -0.78
     specifications
    -0.76
     decom
    -0.70
     specs
    -0.68
     specification
    -0.67
     prototype
    -0.67
     architectures
    -0.67
     Architecture
    -0.65
     Accounting
    -0.65
    POSITIVE LOGITS
     palpable
    1.15
     waning
    1.05
     dissip
    0.99
     intensified
    0.94
     tempered
    0.94
     stoked
    0.91
     muted
    0.91
     contagious
    0.90
     spilled
    0.89
     misplaced
    0.88
    Activations Density 0.524%

    No Known Activations