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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. 5-RES-JB
    6. 19292
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    Explanations

    keywords related to geographical or categorical areas

    oai_token-act-pair · gpt-3.5-turbo

    references to specific fields or contexts that indicate areas or matters requiring attention or consideration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iasis
    -0.75
     Daytona
    -0.65
    issance
    -0.64
     Bulldogs
    -0.59
    izons
    -0.58
    esi
    -0.57
    DE
    -0.57
    Es
    -0.56
    atorium
    -0.55
    ITAL
    -0.55
    POSITIVE LOGITS
    afety
    1.06
    pread
    0.97
    mith
    0.83
    uggest
    0.82
    ometimes
    0.81
     ranging
    0.79
    omething
    0.79
    pace
    0.79
    poon
    0.79
    pring
    0.77
    Activations Density 0.553%

    No Known Activations