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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. 10859
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    Explanations

    references to All-Star players in sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to All-Star selections and achievements in sports

    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
    haar
    -0.78
     LIA
    -0.77
    ĸļ
    -0.76
    perm
    -0.72
    hr
    -0.72
    apa
    -0.69
     beh
    -0.67
    okia
    -0.64
     pse
    -0.64
    APTER
    -0.63
    POSITIVE LOGITS
    osterone
    0.78
     Winners
    0.74
    stration
    0.74
     Shrine
    0.72
     Athlet
    0.72
     Elijah
    0.70
     Medal
    0.69
     Baseball
    0.69
    hawks
    0.68
    âĶĢâĶĢâĶĢâĶĢ
    0.68
    Activations Density 0.018%

    No Known Activations