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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. 15360
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    Explanations

    locations or spaces, especially caverns and thermal materials

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to specific locations and systems, particularly in scientific or technical contexts

    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
    UNCH
    -0.84
    astern
    -0.76
    ctor
    -0.73
    chnology
    -0.66
    outhern
    -0.66
    cient
    -0.64
    lda
    -0.64
    ELF
    -0.62
    assic
    -0.62
    gger
    -0.62
    POSITIVE LOGITS
    s
    2.53
    sie
    1.42
    sburgh
    1.41
    sburg
    1.38
    ski
    1.27
    sb
    1.24
    sis
    1.22
    sand
    1.20
    sf
    1.19
    sch
    1.14
    Activations Density 0.249%

    No Known Activations