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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. 0-RES-JB
    11. 1525
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    Explanations

    phrases related to black and white photography

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rome."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     withheld
    -0.69
     ar
    -0.69
     Hels
    -0.65
     ak
    -0.65
     conting
    -0.64
     Ivy
    -0.62
     Marketable
    -0.62
     dispos
    -0.61
     tips
    -0.61
     tu
    -0.60
    POSITIVE LOGITS
    rome
    4.97
    rom
    1.88
    roma
    1.66
    rone
    1.24
    rique
    1.11
    roman
    1.05
    rio
    1.05
    rame
    1.05
    ronic
    1.04
    rums
    1.03
    Activations Density 0.017%

    No Known Activations