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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. 8-RES-JB
    11. 11454
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    Explanations

    phrases starting with "From what" and "By what."

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "what" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    por
    -0.75
    et
    -0.73
    enberg
    -0.63
    ports
    -0.61
    ISION
    -0.58
    ring
    -0.55
    ster
    -0.55
    lishing
    -0.55
     Sed
    -0.54
    Tex
    -0.54
    POSITIVE LOGITS
     happens
    1.00
     happened
    0.97
    soever
    0.91
     amounts
    0.89
     constitutes
    0.89
     transpired
    0.86
     constituted
    0.80
    Downloadha
    0.78
     else
    0.78
    ?),
    0.78
    Activations Density 0.057%

    No Known Activations