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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. 9180
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    Explanations

    phrases related to planning and decision-making in a professional or strategic context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to planning and decision-making processes

    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
    guyen
    -0.68
    OOOO
    -0.66
    orno
    -0.66
    nai
    -0.64
    ombies
    -0.63
     gorgeous
    -0.62
    oooo
    -0.61
     hating
    -0.61
    inately
    -0.61
     faint
    -0.61
    POSITIVE LOGITS
     relating
    1.21
     pertaining
    1.09
     impacting
    1.06
     affecting
    1.05
     regarding
    1.03
     involving
    1.02
     arising
    0.98
     including
    0.92
     pending
    0.87
     concerning
    0.87
    Activations Density 0.496%

    No Known Activations