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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. 21040
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    INDEX
    Explanations

    years represented as four-digit numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2015 and its related data

    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
     cumbers
    -0.81
     bip
    -0.68
     diaper
    -0.66
    phia
    -0.65
    sembly
    -0.65
     pse
    -0.64
     overd
    -0.64
     cha
    -0.64
    icz
    -0.63
     ship
    -0.61
    POSITIVE LOGITS
    å¹
    0.88
    20439
    0.86
     onwards
    0.78
    -'
    0.77
    gress
    0.76
    rak
    0.72
    âĢ²
    0.71
     Lok
    0.70
     onward
    0.70
     Patton
    0.69
    Activations Density 0.032%

    No Known Activations