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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. 1-RES-JB
    11. 23981
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    Explanations

    phrases or words relating to significant events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Happ" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trl
    -0.87
     understanding
    -0.69
    inventory
    -0.67
     caution
    -0.66
     visual
    -0.63
     Kuwait
    -0.63
     budget
    -0.63
    dding
    -0.62
    Þ
    -0.62
     separation
    -0.61
    POSITIVE LOGITS
     Happ
    1.20
    ened
    0.99
    ening
    0.89
    shake
    0.88
    olitics
    0.87
    eret
    0.85
    ipeg
    0.83
    bang
    0.80
    iest
    0.79
    earance
    0.76
    Activations Density 0.004%

    No Known Activations