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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. 7-RES-JB
    11. 18620
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    Explanations

    mentions of prototypes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of prototypes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    olulu
    -0.86
    leans
    -0.83
    die
    -0.79
    artney
    -0.76
    arching
    -0.76
    andra
    -0.75
    dos
    -0.75
    vation
    -0.74
    don
    -0.74
    minster
    -0.73
    POSITIVE LOGITS
     prototype
    1.00
     prototypes
    0.94
    smanship
    0.85
     sketches
    0.81
     sketch
    0.79
    hesis
    0.78
     template
    0.74
     Prototype
    0.72
     mock
    0.72
     prototyp
    0.70
    Activations Density 0.034%

    No Known Activations