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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20095
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    INDEX
    Explanations

    words related to episodic memory and experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to episodes or segments from a series or program

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FUL
    -0.93
    hips
    -0.79
    LESS
    -0.77
    folk
    -0.74
     Pru
    -0.73
    holding
    -0.67
     nomine
    -0.66
    ÙIJ
    -0.66
    ''''
    -0.65
    veyard
    -0.65
    POSITIVE LOGITS
    iphany
    1.41
    istle
    1.25
    iscopal
    1.23
    hemer
    1.21
    isodes
    1.17
    onymous
    1.09
    idem
    1.04
    iph
    0.98
    isc
    0.96
    otrop
    0.96
    Activations Density 0.018%

    No Known Activations