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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. 2-RES-JB
    6. 24401
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    Explanations

    phrases including names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ional
    -1.08
    ivity
    -0.86
    =-=-=-=-=-=-=-=-
    -0.77
    abad
    -0.73
     IMAGES
    -0.71
    ariat
    -0.68
    icks
    -0.68
    antly
    -0.67
    ioned
    -0.67
    iency
    -0.65
    POSITIVE LOGITS
     Mae
    1.08
    emonic
    0.98
    zie
    0.89
    zza
    0.80
    ovember
    0.78
    zn
    0.76
    hl
    0.75
    vana
    0.73
    astern
    0.73
    pling
    0.73
    Activations Density 0.007%

    No Known Activations