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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. 2-RES-JB
    11. 7685
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    Explanations

    phrases related to different types of spaces for retail and office purposes

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of physical spaces, particularly in a commercial or residential context

    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
    usted
    -0.78
    venge
    -0.75
     presumptive
    -0.70
    ochet
    -0.67
     Simpson
    -0.65
    tl
    -0.63
    ctive
    -0.62
    kai
    -0.61
     Die
    -0.61
    verse
    -0.60
    POSITIVE LOGITS
     space
    0.95
     spaces
    0.92
    conservancy
    0.86
    ngth
    0.85
    kat
    0.85
    acter
    0.82
    dayName
    0.82
    bucks
    0.81
    space
    0.80
    Space
    0.80
    Activations Density 0.021%

    No Known Activations