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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. 4-RES-JB
    11. 15726
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    Explanations

    phrases related to specific technology or related terms, possibly related to data, technology advancements, and space

    oai_token-act-pair · gpt-3.5-turbo

    references to Game Score metrics

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

    No Comments

    Negative Logits
    fitting
    -0.73
    ications
    -0.71
    landish
    -0.70
    taker
    -0.69
    ted
    -0.67
    swick
    -0.66
    sett
    -0.66
    tained
    -0.65
    raged
    -0.65
    fitted
    -0.65
    POSITIVE LOGITS
    earch
    0.96
    IFT
    0.93
    ESSION
    0.90
    ettings
    0.89
    ORGE
    0.85
    YS
    0.84
    GS
    0.84
    ync
    0.84
    OUND
    0.82
    OURCE
    0.82
    Activations Density 0.018%

    No Known Activations