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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. 3-RES-JB
    11. 5128
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    Explanations

    keywords related to housing and financial aspects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to housing

    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
    isy
    -0.79
    romeda
    -0.78
    inx
    -0.78
    sha
    -0.71
    "]=>
    -0.68
    Downloadha
    -0.66
     Cly
    -0.66
    leans
    -0.64
     Editorial
    -0.64
    osi
    -0.63
    POSITIVE LOGITS
     housing
    1.03
     dwellings
    0.90
     apartments
    0.87
     accommodations
    0.87
    chool
    0.85
     affordability
    0.84
    housing
    0.83
     homelessness
    0.81
     complexes
    0.80
    fell
    0.80
    Activations Density 0.017%

    No Known Activations