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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. 18674
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    Explanations

    locations or names related to specific places like Hammam or Bentonville

    oai_token-act-pair · gpt-3.5-turbo

    names of specific towns and locations, particularly Hamm and Bent

    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
     vulner
    -0.80
    mint
    -0.74
    VERS
    -0.72
    ————
    -0.71
    netic
    -0.71
     Nept
    -0.70
    士
    -0.67
    nel
    -0.67
    meric
    -0.66
     foss
    -0.65
    POSITIVE LOGITS
    erer
    0.84
    endi
    0.79
    itude
    0.78
    elling
    0.77
    owitz
    0.76
    oken
    0.75
    inois
    0.75
    inger
    0.74
    roxy
    0.73
    iffs
    0.73
    Activations Density 0.095%

    No Known Activations