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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. 6-RES-JB
    11. 10688
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    Explanations

    phrases related to specific cities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "City of" followed by various city names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.81
    wcs
    -0.70
    reddits
    -0.69
     recite
    -0.69
    requires
    -0.68
    <?
    -0.68
    ittees
    -0.68
    downs
    -0.67
    fights
    -0.65
     showc
    -0.64
    POSITIVE LOGITS
     Light
    0.88
     Excellence
    0.84
     Sandwich
    0.83
     Record
    0.82
     Balance
    0.81
     Peace
    0.80
     York
    0.79
     Hate
    0.79
     Nations
    0.78
     Accountability
    0.77
    Activations Density 0.090%

    No Known Activations