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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. 5550
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references related to home-based entities or activities

    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
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    No Comments

    Negative Logits
    tsky
    -0.74
     soph
    -0.67
    Edit
    -0.63
     Archdemon
    -0.62
    iris
    -0.62
    */(
    -0.62
    Act
    -0.62
    amas
    -0.61
     TT
    -0.59
     subtract
    -0.58
    POSITIVE LOGITS
    brew
    0.82
    vale
    0.78
    grown
    0.75
    aturdays
    0.73
    estead
    0.73
    cooked
    0.72
     Garden
    0.68
    enne
    0.67
    bnb
    0.67
     Away
    0.67
    Activations Density 0.136%

    No Known Activations