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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. 24548
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    Explanations

    words related to excitement and intensity

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotions or heightened states of excitement and concern

    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
    itiz
    -0.73
    VERTISEMENT
    -0.71
     similarly
    -0.68
     sufficient
    -0.68
    qus
    -0.66
     sufficiently
    -0.66
    arcity
    -0.65
     lesser
    -0.64
    ationally
    -0.64
     unim
    -0.63
    POSITIVE LOGITS
    !!!
    1.37
    !!!!
    1.33
    !!
    1.32
    !!!!!
    1.28
    !
    1.25
     !!
    1.18
    !!!!!!!!
    1.16
    !:
    1.12
     tonight
    1.07
    !'
    1.06
    Activations Density 0.672%

    No Known Activations