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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. 17229
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    Explanations

    phrases related to causing or inciting action or emotions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to igniting or fueling emotions and actions

    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
     indemn
    -0.64
    é¾įå
    -0.63
     shortest
    -0.61
     rendered
    -0.61
     afford
    -0.61
     Zup
    -0.61
     taped
    -0.60
    ©¶æ
    -0.60
     inspecting
    -0.59
     ($)
    -0.58
    POSITIVE LOGITS
     passions
    1.20
     fires
    1.17
     enthusiasm
    1.15
     imagination
    1.10
     flames
    1.07
     curiosity
    1.05
     resentment
    1.05
     excitement
    1.05
     wildfire
    1.03
     anger
    1.02
    Activations Density 0.354%

    No Known Activations