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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. 2-RES-JB
    11. 10001
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    Explanations

    locations identified by their state code

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of California

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hower
    -0.90
    schild
    -0.89
    kaya
    -0.87
    matically
    -0.84
    lihood
    -0.79
    lift
    -0.76
    tick
    -0.73
    theless
    -0.71
    flows
    -0.71
     Ukrainians
    -0.71
    POSITIVE LOGITS
    CA
    0.99
    USE
    0.93
    UTION
    0.90
    FF
    0.89
    IRO
    0.89
     CA
    0.88
    UC
    0.87
    ISO
    0.83
    ULT
    0.80
    esar
    0.79
    Activations Density 0.004%

    No Known Activations