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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. 7-RES-JB
    11. 3672
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    Explanations

    terms related to residential areas or properties

    oai_token-act-pair · gpt-3.5-turbo

    terms related to residential areas and developments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xon
    -1.08
    lda
    -0.83
    ĸļ
    -0.80
    imoto
    -0.79
    erity
    -0.79
    berman
    -0.77
    urat
    -0.77
    arak
    -0.75
    gans
    -0.75
    heimer
    -0.75
    POSITIVE LOGITS
     dwellings
    1.04
    ization
    0.95
    izes
    0.93
    ized
    0.91
     buildings
    0.91
     occupancy
    0.89
    ised
    0.87
     tenancy
    0.84
     residences
    0.83
     estates
    0.81
    Activations Density 0.021%

    No Known Activations