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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. 6-RES-JB
    11. 9909
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    Explanations

    names of athletes or people involved in sports

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.77
    acebook
    -0.72
    ():
    -0.69
    SOURCE
    -0.65
    âĸ¬
    -0.60
    theless
    -0.60
    Cath
    -0.60
    PsyNetMessage
    -0.60
    ··
    -0.59
    LEASE
    -0.59
    POSITIVE LOGITS
    utsch
    0.85
    naire
    0.81
    iman
    0.81
    hart
    0.80
    ahl
    0.79
    zynski
    0.77
    ivan
    0.77
    iatus
    0.77
    isner
    0.76
    gaard
    0.76
    Activations Density 0.317%

    No Known Activations