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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. 3-RES-JB
    11. 8389
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    Explanations

    the name "Joss" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    the word "oss" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riages
    -0.66
    è¦ļéĨĴ
    -0.64
    WAY
    -0.62
    ufact
    -0.61
    ãĥ£
    -0.60
     Daylight
    -0.59
     Manila
    -0.58
     Italians
    -0.58
    ropolitan
    -0.57
    assies
    -0.57
    POSITIVE LOGITS
     Whedon
    1.11
    essor
    1.01
    essing
    1.01
    es
    0.96
    essed
    0.95
    essors
    0.90
    enger
    0.88
    edIn
    0.87
    acks
    0.86
    essions
    0.85
    Activations Density 0.010%

    No Known Activations