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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. 23955
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    Explanations

    words related to transportation or location, specifically with the word 'ports'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports

    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
     captcha
    -0.69
     resil
    -0.67
     scrape
    -0.64
    Ü
    -0.64
     subp
    -0.64
     hills
    -0.63
     swoop
    -0.63
    vil
    -0.63
     whiff
    -0.63
    zers
    -0.61
    POSITIVE LOGITS
    ports
    1.01
    rait
    1.01
    raits
    0.97
    folios
    0.96
    ocial
    0.92
    porting
    0.88
    dinand
    0.85
    ugal
    0.82
    mith
    0.79
    unity
    0.78
    Activations Density 0.010%

    No Known Activations