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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. 5284
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    Explanations

    phrases related to actions or events being carried out

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative actions and government measures

    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
    sburg
    -0.67
     floats
    -0.62
    lder
    -0.62
    truth
    -0.60
    hab
    -0.60
    fields
    -0.60
    iterator
    -0.59
    ayn
    -0.58
    gom
    -0.57
    ye
    -0.57
    POSITIVE LOGITS
     reminiscent
    1.13
     prompted
    1.07
     spurred
    0.94
     sympt
    0.92
     greeted
    0.91
     billed
    0.87
     meant
    0.86
     overseen
    0.86
     spearheaded
    0.85
     contrasted
    0.85
    Activations Density 0.274%

    No Known Activations