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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. 3699
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    Explanations

    proper names, specifically names starting with "Jer"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Jer" and its variations

    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
    holders
    -0.76
    ULAR
    -0.70
    holder
    -0.68
    weights
    -0.68
    weight
    -0.66
    ãģ¦
    -0.66
    enhagen
    -0.66
    spring
    -0.65
    phrine
    -0.65
     Panther
    -0.64
    POSITIVE LOGITS
    usalem
    1.36
    seys
    1.32
    sey
    1.04
    miah
    0.99
    icho
    0.97
    obo
    0.91
    jer
    0.91
    onne
    0.91
    uda
    0.90
    ger
    0.88
    Activations Density 0.017%

    No Known Activations