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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. 9-RES-JB
    11. 6192
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    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    names of people and character references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    keyes
    -0.79
    cession
    -0.66
    keye
    -0.65
    abouts
    -0.65
    JECT
    -0.64
    ebus
    -0.63
    elson
    -0.60
    inges
    -0.59
    ALT
    -0.59
    DIV
    -0.59
    POSITIVE LOGITS
    oire
    0.77
    ain
    0.75
    o
    0.75
    andro
    0.73
    ij士
    0.72
    otal
    0.68
    Interstitial
    0.66
    mson
    0.65
    lio
    0.65
    ois
    0.64
    Activations Density 0.155%

    No Known Activations