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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. 3-RES-JB
    6. 6727
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    Explanations

    phrases or words pertaining to specific locations

    oai_token-act-pair · gpt-3.5-turbo

    the specific term "vi" and its variations, possibly indicating a focus on visual elements or representations

    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
    */(
    -0.86
     Cosponsors
    -0.74
    lins
    -0.66
    spin
    -0.65
    raising
    -0.65
     Kasich
    -0.64
    bread
    -0.63
    Ĥª
    -0.63
    ĭ
    -0.62
    rules
    -0.61
    POSITIVE LOGITS
    ñ
    0.95
    Äĩ
    0.93
    Äį
    0.90
    irus
    0.87
    uld
    0.87
    vi
    0.86
    ault
    0.86
    itri
    0.82
    plets
    0.82
    udence
    0.81
    Activations Density 0.006%

    No Known Activations