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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. 7-RES-JB
    11. 9473
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    Explanations

    pronouns followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    references to specific items or substances being discussed in a context that involves usage or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ·ãĥ£
    -0.69
    istics
    -0.63
     Powers
    -0.55
    idth
    -0.54
     Sanchez
    -0.52
     Carbon
    -0.52
     IPCC
    -0.51
    pi
    -0.51
    Disk
    -0.50
    raction
    -0.50
    POSITIVE LOGITS
     orally
    0.91
     commercially
    0.87
     extensively
    0.87
     illegally
    0.87
     toget
    0.85
     legitimately
    0.83
     recre
    0.82
     cheaply
    0.82
     incorrectly
    0.79
     willingly
    0.79
    Activations Density 0.278%

    No Known Activations