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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. 13170
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    Explanations

    phrases with the word "thing" emphasized

    oai_token-act-pair · gpt-3.5-turbo

    the word "thing" and its variations used in various contexts

    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
    incinn
    -0.63
    avorite
    -0.62
    ãĥ©ãĥ³
    -0.61
    Gaza
    -0.61
    NetMessage
    -0.60
     Telecommunications
    -0.60
     crest
    -0.59
    cul
    -0.59
    bern
    -0.57
     concentration
    -0.57
    POSITIVE LOGITS
    iverse
    1.26
     happened
    1.03
     happening
    1.00
     happ
    0.91
     happen
    0.91
     happens
    0.86
    hots
    0.85
    meal
    0.85
     Called
    0.84
    y
    0.83
    Activations Density 0.054%

    No Known Activations