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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. 20192
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    INDEX
    Explanations

    phrases related to actions or decisions being made

    oai_token-act-pair · gpt-3.5-turbo

    actions and verbs indicating contribution or effort

    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
     Reported
    -0.80
     Suppose
    -0.66
     ®
    -0.66
     Recall
    -0.65
    DragonMagazine
    -0.64
    >>\
    -0.64
     Presumably
    -0.63
    unknown
    -0.63
     Received
    -0.62
     awaiting
    -0.61
    POSITIVE LOGITS
     everybody
    1.10
     ourselves
    1.02
     somebody
    0.94
     everything
    0.93
     tremendous
    0.88
     tons
    0.88
     alot
    0.85
     stuff
    0.85
     myself
    0.84
     opportunities
    0.83
    Activations Density 0.434%

    No Known Activations